Spaces:
Sleeping
Sleeping
fiesty-bear
commited on
Commit
•
22342db
1
Parent(s):
6064c9d
Initial Commit
Browse files- app.py +145 -0
- requirements.txt +498 -0
app.py
ADDED
@@ -0,0 +1,145 @@
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1 |
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selected_model = 'lookbook' #@param {type:"string"}
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# Load model
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import torch
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import numpy as np
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from PIL import Image
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from models import get_instrumented_model
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from decomposition import get_or_compute
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from config import Config
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# Speed up computation
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torch.autograd.set_grad_enabled(False)
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torch.backends.cudnn.benchmark = True
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# Specify model to use
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config = Config(
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model='StyleGAN2',
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layer='style',
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output_class=selected_model,
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components=20,
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use_w=True,
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batch_size=5_000, # style layer quite small
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)
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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inst = get_instrumented_model(config.model, config.output_class,
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config.layer, device, use_w=config.use_w)
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path_to_components = get_or_compute(config, inst)
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model = inst.model
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comps = np.load(path_to_components)
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lst = comps.files
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latent_dirs = []
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latent_stdevs = []
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load_activations = False
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for item in lst:
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if load_activations:
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if item == 'act_comp':
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for i in range(comps[item].shape[0]):
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latent_dirs.append(comps[item][i])
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if item == 'act_stdev':
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for i in range(comps[item].shape[0]):
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latent_stdevs.append(comps[item][i])
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else:
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if item == 'lat_comp':
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for i in range(comps[item].shape[0]):
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latent_dirs.append(comps[item][i])
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if item == 'lat_stdev':
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for i in range(comps[item].shape[0]):
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latent_stdevs.append(comps[item][i])
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#@title Define functions
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def display_sample_pytorch(seed, truncation, directions, distances, scale, start, end, w=None, disp=True, save=None, noise_spec=None):
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# blockPrint()
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model.truncation = truncation
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if w is None:
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w = model.sample_latent(1, seed=seed).detach().cpu().numpy()
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w = [w]*model.get_max_latents() # one per layer
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else:
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w = [np.expand_dims(x, 0) for x in w]
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for l in range(start, end):
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for i in range(len(directions)):
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w[l] = w[l] + directions[i] * distances[i] * scale
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torch.cuda.empty_cache()
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#save image and display
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out = model.sample_np(w)
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final_im = Image.fromarray((out * 255).astype(np.uint8)).resize((500,500),Image.LANCZOS)
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if save is not None:
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if disp == False:
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print(save)
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final_im.save(f'out/{seed}_{save:05}.png')
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if disp:
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display(final_im)
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return final_im
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#@title Demo UI
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import gradio as gr
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import numpy as np
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gr.themes.Glass()
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def generate_image(seed=0, c0=0, c1=0, c2=0, c3=0, c4=0, c5=0, c6=0):
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seed = int(seed)
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params = {'c0': -c0,
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'c1': c1,
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'c2': c2,
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'c3': c3,
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'c4': c4,
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'c5': c5,
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'c6': c6}
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# Assigns slider to the principal components
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param_indexes = {'c0': 12,
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'c1': 6,
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'c2': 7,
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'c3': 2,
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'c4': 11,
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'c5': 9,
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'c6': 10}
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# Save the values from the sliders
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directions = []
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distances = []
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for k, v in params.items():
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directions.append(latent_dirs[param_indexes[k]])
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distances.append(v)
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# Additional settings for image generation
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start_layer = 0
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end_layer = 14
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truncation = 0.5
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return display_sample_pytorch(seed, truncation, directions, distances, 1, int(start_layer), int(end_layer), disp=False)
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# Create a number input for seed
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seed = gr.Number(value=6, label="Seed 1")
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slider_max_val = 5
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slider_min_val = -5
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slider_step = 0.1
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# Create the sliders input
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c0 = gr.Slider(label="Design Pattern", minimum=slider_min_val, maximum=slider_max_val, value=0)
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c1 = gr.Slider(label="Traditional", minimum=slider_min_val, maximum=slider_max_val, value=0)
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c2 = gr.Slider(label="Darker Tone", minimum=slider_min_val, maximum=slider_max_val, value=0)
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c3 = gr.Slider(label="Neck Line", minimum=slider_min_val, maximum=slider_max_val, value=0)
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c4 = gr.Slider(label="Graphics", minimum=slider_min_val, maximum=slider_max_val, value=0)
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c5 = gr.Slider(label="Darker Tone", minimum=slider_min_val, maximum=slider_max_val, value=0)
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c6 = gr.Slider(label="Greenish", minimum=slider_min_val, maximum=slider_max_val, value=0)
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inputs = [seed, c0, c1, c2, c3]
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# Launch demo
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gr.Interface(generate_image, inputs, ["image"], live=True, title="Fashion GAN", description="StyleGan2+SpaceGan to generate parameter controlled images. With ❤ by TCS Rapid Labs").launch(debug=True, share=True)
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requirements.txt
ADDED
@@ -0,0 +1,498 @@
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1 |
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absl-py==1.4.0
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2 |
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aiofiles==23.2.1
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aiohttp==3.9.1
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aiosignal==1.3.1
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5 |
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alabaster==0.7.16
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albumentations==1.3.1
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altair==4.2.2
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anyio==3.7.1
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9 |
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appdirs==1.4.4
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10 |
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argon2-cffi==23.1.0
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argon2-cffi-bindings==21.2.0
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array-record==0.5.0
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arviz==0.15.1
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astropy==5.3.4
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astunparse==1.6.3
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async-timeout==4.0.3
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atpublic==4.0
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attrs==23.2.0
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audioread==3.0.1
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autograd==1.6.2
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21 |
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Babel==2.14.0
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backcall==0.2.0
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23 |
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beautifulsoup4==4.11.2
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24 |
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bidict==0.22.1
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bigframes==0.19.0
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26 |
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bleach==6.1.0
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blinker==1.4
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blis==0.7.11
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29 |
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blosc2==2.0.0
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bokeh==3.3.3
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boto3==1.34.22
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botocore==1.34.22
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33 |
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bqplot==0.12.42
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34 |
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branca==0.7.0
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35 |
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build==1.0.3
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36 |
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CacheControl==0.13.1
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37 |
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cachetools==5.3.2
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38 |
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catalogue==2.0.10
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39 |
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certifi==2023.11.17
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40 |
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cffi==1.16.0
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41 |
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chardet==3.0.4
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42 |
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charset-normalizer==3.3.2
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43 |
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chex==0.1.7
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44 |
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click==8.1.7
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45 |
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click-plugins==1.1.1
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46 |
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cligj==0.7.2
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47 |
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cloudpickle==2.2.1
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48 |
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cmake==3.27.9
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49 |
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cmdstanpy==1.2.0
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50 |
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colorcet==3.0.1
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51 |
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colorlover==0.3.0
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52 |
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colour==0.1.5
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53 |
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community==1.0.0b1
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54 |
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confection==0.1.4
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55 |
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cons==0.4.6
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56 |
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contextlib2==21.6.0
|
57 |
+
contourpy==1.2.0
|
58 |
+
cryptography==41.0.7
|
59 |
+
cufflinks==0.17.3
|
60 |
+
cupy-cuda12x==12.2.0
|
61 |
+
cvxopt==1.3.2
|
62 |
+
cvxpy==1.3.2
|
63 |
+
cycler==0.12.1
|
64 |
+
cymem==2.0.8
|
65 |
+
Cython==3.0.8
|
66 |
+
dask==2023.8.1
|
67 |
+
datascience==0.17.6
|
68 |
+
db-dtypes==1.2.0
|
69 |
+
dbus-python==1.2.18
|
70 |
+
debugpy==1.6.6
|
71 |
+
decorator==4.4.2
|
72 |
+
defusedxml==0.7.1
|
73 |
+
diskcache==5.6.3
|
74 |
+
distributed==2023.8.1
|
75 |
+
distro==1.7.0
|
76 |
+
dlib==19.24.2
|
77 |
+
dm-tree==0.1.8
|
78 |
+
docutils==0.18.1
|
79 |
+
dopamine-rl==4.0.6
|
80 |
+
duckdb==0.9.2
|
81 |
+
earthengine-api==0.1.385
|
82 |
+
easydict==1.11
|
83 |
+
ecos==2.0.12
|
84 |
+
editdistance==0.6.2
|
85 |
+
eerepr==0.0.4
|
86 |
+
en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.6.0/en_core_web_sm-3.6.0-py3-none-any.whl#sha256=83276fc78a70045627144786b52e1f2728ad5e29e5e43916ec37ea9c26a11212
|
87 |
+
entrypoints==0.4
|
88 |
+
et-xmlfile==1.1.0
|
89 |
+
etils==1.6.0
|
90 |
+
etuples==0.3.9
|
91 |
+
exceptiongroup==1.2.0
|
92 |
+
fastai==2.7.13
|
93 |
+
fastapi==0.109.0
|
94 |
+
fastcore==1.5.29
|
95 |
+
fastdownload==0.0.7
|
96 |
+
fastjsonschema==2.19.1
|
97 |
+
fastprogress==1.0.3
|
98 |
+
fastrlock==0.8.2
|
99 |
+
fbpca==1.0
|
100 |
+
ffmpy==0.3.1
|
101 |
+
filelock==3.13.1
|
102 |
+
fiona==1.9.5
|
103 |
+
firebase-admin==5.3.0
|
104 |
+
Flask==2.2.5
|
105 |
+
flatbuffers==23.5.26
|
106 |
+
flax==0.7.5
|
107 |
+
folium==0.14.0
|
108 |
+
fonttools==4.47.2
|
109 |
+
frozendict==2.4.0
|
110 |
+
frozenlist==1.4.1
|
111 |
+
fsspec==2023.6.0
|
112 |
+
future==0.18.3
|
113 |
+
gast==0.5.4
|
114 |
+
gcsfs==2023.6.0
|
115 |
+
GDAL==3.4.3
|
116 |
+
gdown==4.6.6
|
117 |
+
geemap==0.30.3
|
118 |
+
gensim==4.3.2
|
119 |
+
geocoder==1.38.1
|
120 |
+
geographiclib==2.0
|
121 |
+
geopandas==0.13.2
|
122 |
+
geopy==2.3.0
|
123 |
+
gin-config==0.5.0
|
124 |
+
glob2==0.7
|
125 |
+
google==2.0.3
|
126 |
+
google-ai-generativelanguage==0.4.0
|
127 |
+
google-api-core==2.11.1
|
128 |
+
google-api-python-client==2.84.0
|
129 |
+
google-auth==2.17.3
|
130 |
+
google-auth-httplib2==0.1.1
|
131 |
+
google-auth-oauthlib==1.2.0
|
132 |
+
google-cloud-aiplatform==1.39.0
|
133 |
+
google-cloud-bigquery==3.12.0
|
134 |
+
google-cloud-bigquery-connection==1.12.1
|
135 |
+
google-cloud-bigquery-storage==2.24.0
|
136 |
+
google-cloud-core==2.3.3
|
137 |
+
google-cloud-datastore==2.15.2
|
138 |
+
google-cloud-firestore==2.11.1
|
139 |
+
google-cloud-functions==1.13.3
|
140 |
+
google-cloud-iam==2.13.0
|
141 |
+
google-cloud-language==2.9.1
|
142 |
+
google-cloud-resource-manager==1.11.0
|
143 |
+
google-cloud-storage==2.8.0
|
144 |
+
google-cloud-translate==3.11.3
|
145 |
+
google-colab @ file:///colabtools/dist/google-colab-1.0.0.tar.gz#sha256=6294a64a6af49a94409f8f79ccec6448629262a3bb2cebbd4450060dc293984b
|
146 |
+
google-crc32c==1.5.0
|
147 |
+
google-generativeai==0.3.2
|
148 |
+
google-pasta==0.2.0
|
149 |
+
google-resumable-media==2.7.0
|
150 |
+
googleapis-common-protos==1.62.0
|
151 |
+
googledrivedownloader==0.4
|
152 |
+
gradio==3.50.0
|
153 |
+
gradio_client==0.6.1
|
154 |
+
graphviz==0.20.1
|
155 |
+
greenlet==3.0.3
|
156 |
+
grpc-google-iam-v1==0.13.0
|
157 |
+
grpcio==1.60.0
|
158 |
+
grpcio-status==1.48.2
|
159 |
+
gspread==3.4.2
|
160 |
+
gspread-dataframe==3.3.1
|
161 |
+
gym==0.25.2
|
162 |
+
gym-notices==0.0.8
|
163 |
+
h11==0.14.0
|
164 |
+
h5netcdf==1.3.0
|
165 |
+
h5py==3.9.0
|
166 |
+
holidays==0.40
|
167 |
+
holoviews==1.17.1
|
168 |
+
html5lib==1.1
|
169 |
+
httpcore==1.0.2
|
170 |
+
httpimport==1.3.1
|
171 |
+
httplib2==0.22.0
|
172 |
+
httpx==0.26.0
|
173 |
+
huggingface-hub==0.20.2
|
174 |
+
humanize==4.7.0
|
175 |
+
hyperopt==0.2.7
|
176 |
+
ibis-framework==7.1.0
|
177 |
+
idna==2.10
|
178 |
+
imageio==2.31.6
|
179 |
+
imageio-ffmpeg==0.4.9
|
180 |
+
imagesize==1.4.1
|
181 |
+
imbalanced-learn==0.10.1
|
182 |
+
imgaug==0.4.0
|
183 |
+
importlib-metadata==7.0.1
|
184 |
+
importlib-resources==6.1.1
|
185 |
+
imutils==0.5.4
|
186 |
+
inflect==7.0.0
|
187 |
+
iniconfig==2.0.0
|
188 |
+
install==1.3.5
|
189 |
+
intel-openmp==2023.2.3
|
190 |
+
ipyevents==2.0.2
|
191 |
+
ipyfilechooser==0.6.0
|
192 |
+
ipykernel==5.5.6
|
193 |
+
ipyleaflet==0.18.1
|
194 |
+
ipython==7.34.0
|
195 |
+
ipython-genutils==0.2.0
|
196 |
+
ipython-sql==0.5.0
|
197 |
+
ipytree==0.2.2
|
198 |
+
ipywidgets==7.7.1
|
199 |
+
itsdangerous==2.1.2
|
200 |
+
jax==0.4.23
|
201 |
+
jaxlib @ https://storage.googleapis.com/jax-releases/cuda12/jaxlib-0.4.23+cuda12.cudnn89-cp310-cp310-manylinux2014_x86_64.whl#sha256=8e42000672599e7ec0ea7f551acfcc95dcdd0e22b05a1d1f12f97b56a9fce4a8
|
202 |
+
jeepney==0.7.1
|
203 |
+
jieba==0.42.1
|
204 |
+
Jinja2==3.1.3
|
205 |
+
jmespath==1.0.1
|
206 |
+
joblib==1.3.2
|
207 |
+
jsonpickle==3.0.2
|
208 |
+
jsonschema==4.19.2
|
209 |
+
jsonschema-specifications==2023.12.1
|
210 |
+
jupyter-client==6.1.12
|
211 |
+
jupyter-console==6.1.0
|
212 |
+
jupyter-server==1.24.0
|
213 |
+
jupyter_core==5.7.1
|
214 |
+
jupyterlab-widgets==3.0.9
|
215 |
+
jupyterlab_pygments==0.3.0
|
216 |
+
kaggle==1.5.16
|
217 |
+
kagglehub==0.1.5
|
218 |
+
keras==2.15.0
|
219 |
+
keyring==23.5.0
|
220 |
+
kiwisolver==1.4.5
|
221 |
+
langcodes==3.3.0
|
222 |
+
launchpadlib==1.10.16
|
223 |
+
lazr.restfulclient==0.14.4
|
224 |
+
lazr.uri==1.0.6
|
225 |
+
lazy_loader==0.3
|
226 |
+
libclang==16.0.6
|
227 |
+
librosa==0.10.1
|
228 |
+
lida==0.0.10
|
229 |
+
lightgbm==4.1.0
|
230 |
+
linkify-it-py==2.0.2
|
231 |
+
llmx==0.0.15a0
|
232 |
+
llvmlite==0.41.1
|
233 |
+
locket==1.0.0
|
234 |
+
logical-unification==0.4.6
|
235 |
+
lxml==4.9.4
|
236 |
+
malloy==2023.1067
|
237 |
+
Markdown==3.5.2
|
238 |
+
markdown-it-py==3.0.0
|
239 |
+
MarkupSafe==2.1.3
|
240 |
+
matplotlib==3.7.1
|
241 |
+
matplotlib-inline==0.1.6
|
242 |
+
matplotlib-venn==0.11.9
|
243 |
+
mdit-py-plugins==0.4.0
|
244 |
+
mdurl==0.1.2
|
245 |
+
miniKanren==1.0.3
|
246 |
+
missingno==0.5.2
|
247 |
+
mistune==0.8.4
|
248 |
+
mizani==0.9.3
|
249 |
+
mkl==2023.2.0
|
250 |
+
ml-dtypes==0.2.0
|
251 |
+
mlxtend==0.22.0
|
252 |
+
more-itertools==10.1.0
|
253 |
+
moviepy==1.0.3
|
254 |
+
mpmath==1.3.0
|
255 |
+
msgpack==1.0.7
|
256 |
+
multidict==6.0.4
|
257 |
+
multipledispatch==1.0.0
|
258 |
+
multitasking==0.0.11
|
259 |
+
murmurhash==1.0.10
|
260 |
+
music21==9.1.0
|
261 |
+
natsort==8.4.0
|
262 |
+
nbclassic==1.0.0
|
263 |
+
nbclient==0.9.0
|
264 |
+
nbconvert==6.5.4
|
265 |
+
nbformat==5.9.2
|
266 |
+
nest-asyncio==1.5.8
|
267 |
+
networkx==3.2.1
|
268 |
+
nibabel==4.0.2
|
269 |
+
ninja==1.11.1.1
|
270 |
+
nltk==3.8.1
|
271 |
+
notebook==6.5.5
|
272 |
+
notebook_shim==0.2.3
|
273 |
+
numba==0.58.1
|
274 |
+
numexpr==2.8.8
|
275 |
+
numpy==1.23.5
|
276 |
+
oauth2client==4.1.3
|
277 |
+
oauthlib==3.2.2
|
278 |
+
opencv-contrib-python==4.8.0.76
|
279 |
+
opencv-python==4.8.0.76
|
280 |
+
opencv-python-headless==4.9.0.80
|
281 |
+
openpyxl==3.1.2
|
282 |
+
opt-einsum==3.3.0
|
283 |
+
optax==0.1.7
|
284 |
+
orbax-checkpoint==0.4.4
|
285 |
+
orjson==3.9.12
|
286 |
+
osqp==0.6.2.post8
|
287 |
+
packaging==23.2
|
288 |
+
pandas==1.5.3
|
289 |
+
pandas-datareader==0.10.0
|
290 |
+
pandas-gbq==0.19.2
|
291 |
+
pandas-stubs==1.5.3.230304
|
292 |
+
pandocfilters==1.5.0
|
293 |
+
panel==1.3.6
|
294 |
+
param==2.0.1
|
295 |
+
parso==0.8.3
|
296 |
+
parsy==2.1
|
297 |
+
partd==1.4.1
|
298 |
+
pathlib==1.0.1
|
299 |
+
pathy==0.10.3
|
300 |
+
patsy==0.5.6
|
301 |
+
peewee==3.17.0
|
302 |
+
pexpect==4.9.0
|
303 |
+
pickleshare==0.7.5
|
304 |
+
Pillow==9.4.0
|
305 |
+
pins==0.8.4
|
306 |
+
pip-tools==6.13.0
|
307 |
+
platformdirs==4.1.0
|
308 |
+
plotly==5.15.0
|
309 |
+
plotnine==0.12.4
|
310 |
+
pluggy==1.3.0
|
311 |
+
polars==0.17.3
|
312 |
+
pooch==1.8.0
|
313 |
+
portpicker==1.5.2
|
314 |
+
prefetch-generator==1.0.3
|
315 |
+
preshed==3.0.9
|
316 |
+
prettytable==3.9.0
|
317 |
+
proglog==0.1.10
|
318 |
+
progressbar2==4.2.0
|
319 |
+
prometheus-client==0.19.0
|
320 |
+
promise==2.3
|
321 |
+
prompt-toolkit==3.0.43
|
322 |
+
prophet==1.1.5
|
323 |
+
proto-plus==1.23.0
|
324 |
+
protobuf==3.20.3
|
325 |
+
psutil==5.9.5
|
326 |
+
psycopg2==2.9.9
|
327 |
+
ptyprocess==0.7.0
|
328 |
+
py-cpuinfo==9.0.0
|
329 |
+
py4j==0.10.9.7
|
330 |
+
pyarrow==10.0.1
|
331 |
+
pyarrow-hotfix==0.6
|
332 |
+
pyasn1==0.5.1
|
333 |
+
pyasn1-modules==0.3.0
|
334 |
+
pycocotools==2.0.7
|
335 |
+
pycparser==2.21
|
336 |
+
pyct==0.5.0
|
337 |
+
pydantic==1.10.13
|
338 |
+
pydata-google-auth==1.8.2
|
339 |
+
pydot==1.4.2
|
340 |
+
pydot-ng==2.0.0
|
341 |
+
pydotplus==2.0.2
|
342 |
+
PyDrive==1.3.1
|
343 |
+
PyDrive2==1.6.3
|
344 |
+
pydub==0.25.1
|
345 |
+
pyerfa==2.0.1.1
|
346 |
+
pygame==2.5.2
|
347 |
+
Pygments==2.16.1
|
348 |
+
PyGObject==3.42.1
|
349 |
+
PyJWT==2.3.0
|
350 |
+
pymc==5.7.2
|
351 |
+
pymystem3==0.2.0
|
352 |
+
PyOpenGL==3.1.7
|
353 |
+
pyOpenSSL==23.3.0
|
354 |
+
pyparsing==3.1.1
|
355 |
+
pyperclip==1.8.2
|
356 |
+
pyproj==3.6.1
|
357 |
+
pyproject_hooks==1.0.0
|
358 |
+
pyshp==2.3.1
|
359 |
+
PySocks==1.7.1
|
360 |
+
pytensor==2.14.2
|
361 |
+
pytest==7.4.4
|
362 |
+
python-apt==0.0.0
|
363 |
+
python-box==7.1.1
|
364 |
+
python-dateutil==2.8.2
|
365 |
+
python-louvain==0.16
|
366 |
+
python-multipart==0.0.6
|
367 |
+
python-slugify==8.0.1
|
368 |
+
python-utils==3.8.1
|
369 |
+
pytz==2023.3.post1
|
370 |
+
pyviz_comms==3.0.0
|
371 |
+
PyWavelets==1.5.0
|
372 |
+
PyYAML==6.0.1
|
373 |
+
pyzmq==23.2.1
|
374 |
+
qdldl==0.1.7.post0
|
375 |
+
qudida==0.0.4
|
376 |
+
ratelim==0.1.6
|
377 |
+
referencing==0.32.1
|
378 |
+
regex==2023.6.3
|
379 |
+
requests==2.23.0
|
380 |
+
requests-oauthlib==1.3.1
|
381 |
+
requirements-parser==0.5.0
|
382 |
+
rich==13.7.0
|
383 |
+
rpds-py==0.16.2
|
384 |
+
rpy2==3.4.2
|
385 |
+
rsa==4.9
|
386 |
+
s3transfer==0.10.0
|
387 |
+
safetensors==0.4.1
|
388 |
+
scikit-image==0.19.3
|
389 |
+
scikit-learn==1.2.2
|
390 |
+
scipy==1.11.4
|
391 |
+
scooby==0.9.2
|
392 |
+
scs==3.2.4.post1
|
393 |
+
seaborn==0.13.1
|
394 |
+
SecretStorage==3.3.1
|
395 |
+
semantic-version==2.10.0
|
396 |
+
Send2Trash==1.8.2
|
397 |
+
shapely==2.0.2
|
398 |
+
six==1.16.0
|
399 |
+
sklearn-pandas==2.2.0
|
400 |
+
smart-open==6.4.0
|
401 |
+
sniffio==1.3.0
|
402 |
+
snowballstemmer==2.2.0
|
403 |
+
sortedcontainers==2.4.0
|
404 |
+
soundfile==0.12.1
|
405 |
+
soupsieve==2.5
|
406 |
+
soxr==0.3.7
|
407 |
+
spacy==3.6.1
|
408 |
+
spacy-legacy==3.0.12
|
409 |
+
spacy-loggers==1.0.5
|
410 |
+
Sphinx==5.0.2
|
411 |
+
sphinxcontrib-applehelp==1.0.7
|
412 |
+
sphinxcontrib-devhelp==1.0.5
|
413 |
+
sphinxcontrib-htmlhelp==2.0.4
|
414 |
+
sphinxcontrib-jsmath==1.0.1
|
415 |
+
sphinxcontrib-qthelp==1.0.6
|
416 |
+
sphinxcontrib-serializinghtml==1.1.9
|
417 |
+
SQLAlchemy==2.0.24
|
418 |
+
sqlglot==19.9.0
|
419 |
+
sqlparse==0.4.4
|
420 |
+
srsly==2.4.8
|
421 |
+
stanio==0.3.0
|
422 |
+
starlette==0.35.1
|
423 |
+
statsmodels==0.14.1
|
424 |
+
sympy==1.12
|
425 |
+
tables==3.8.0
|
426 |
+
tabulate==0.9.0
|
427 |
+
tbb==2021.11.0
|
428 |
+
tblib==3.0.0
|
429 |
+
tenacity==8.2.3
|
430 |
+
tensorboard==2.15.1
|
431 |
+
tensorboard-data-server==0.7.2
|
432 |
+
tensorflow==2.15.0
|
433 |
+
tensorflow-datasets==4.9.4
|
434 |
+
tensorflow-estimator==2.15.0
|
435 |
+
tensorflow-gcs-config==2.15.0
|
436 |
+
tensorflow-hub==0.15.0
|
437 |
+
tensorflow-io-gcs-filesystem==0.35.0
|
438 |
+
tensorflow-metadata==1.14.0
|
439 |
+
tensorflow-probability==0.22.0
|
440 |
+
tensorstore==0.1.45
|
441 |
+
termcolor==2.4.0
|
442 |
+
terminado==0.18.0
|
443 |
+
text-unidecode==1.3
|
444 |
+
textblob==0.17.1
|
445 |
+
tf-slim==1.1.0
|
446 |
+
thinc==8.1.12
|
447 |
+
threadpoolctl==3.2.0
|
448 |
+
tifffile==2023.12.9
|
449 |
+
tinycss2==1.2.1
|
450 |
+
tokenizers==0.15.0
|
451 |
+
toml==0.10.2
|
452 |
+
tomli==2.0.1
|
453 |
+
toolz==0.12.0
|
454 |
+
torch @ https://download.pytorch.org/whl/cu121/torch-2.1.0%2Bcu121-cp310-cp310-linux_x86_64.whl#sha256=0d4e8c52a1fcf5ed6cfc256d9a370fcf4360958fc79d0b08a51d55e70914df46
|
455 |
+
torchaudio @ https://download.pytorch.org/whl/cu121/torchaudio-2.1.0%2Bcu121-cp310-cp310-linux_x86_64.whl#sha256=676bda4042734eda99bc59b2d7f761f345d3cde0cad492ad34e3aefde688c6d8
|
456 |
+
torchdata==0.7.0
|
457 |
+
torchsummary==1.5.1
|
458 |
+
torchtext==0.16.0
|
459 |
+
torchvision @ https://download.pytorch.org/whl/cu121/torchvision-0.16.0%2Bcu121-cp310-cp310-linux_x86_64.whl#sha256=e76e78d0ad43636c9884b3084ffaea8a8b61f21129fbfa456a5fe734f0affea9
|
460 |
+
tornado==6.3.2
|
461 |
+
tqdm==4.66.1
|
462 |
+
traitlets==5.7.1
|
463 |
+
traittypes==0.2.1
|
464 |
+
transformers==4.35.2
|
465 |
+
triton==2.1.0
|
466 |
+
tweepy==4.14.0
|
467 |
+
typer==0.9.0
|
468 |
+
types-pytz==2023.3.1.1
|
469 |
+
types-setuptools==69.0.0.20240115
|
470 |
+
typing_extensions==4.9.0
|
471 |
+
tzlocal==5.2
|
472 |
+
uc-micro-py==1.0.2
|
473 |
+
uritemplate==4.1.1
|
474 |
+
urllib3==1.25.11
|
475 |
+
uvicorn==0.26.0
|
476 |
+
vega-datasets==0.9.0
|
477 |
+
wadllib==1.3.6
|
478 |
+
wasabi==1.1.2
|
479 |
+
wcwidth==0.2.13
|
480 |
+
webcolors==1.13
|
481 |
+
webencodings==0.5.1
|
482 |
+
websocket-client==1.7.0
|
483 |
+
websockets==11.0.3
|
484 |
+
Werkzeug==3.0.1
|
485 |
+
widgetsnbextension==3.6.6
|
486 |
+
wordcloud==1.9.3
|
487 |
+
wrapt==1.14.1
|
488 |
+
xarray==2023.7.0
|
489 |
+
xarray-einstats==0.6.0
|
490 |
+
xgboost==2.0.3
|
491 |
+
xlrd==2.0.1
|
492 |
+
xxhash==3.4.1
|
493 |
+
xyzservices==2023.10.1
|
494 |
+
yarl==1.9.4
|
495 |
+
yellowbrick==1.5
|
496 |
+
yfinance==0.2.35
|
497 |
+
zict==3.0.0
|
498 |
+
zipp==3.17.0
|