semvec/pypi-packages huggingface dataset:
CLI-MAILER 0.1
A command Line mailer

# CLI_Mailer
This is a python program that let u send mail in command line interface.
### USAGE 
1. Clone the repository 
```bash
https://github.com/Pratyush-Saxena/CLI_Mailer.git
```
2. Install all the dependencies
```bash
pip install requirements.txt
```
3. Now run main.py script
```bash
python main.py
```
deepfake-gitract 1.0.2
Deepfake gastrointestinal tract image generator.
Requires Python: >=3.6

# deepfake-gitract
Generate deepfake-gitract images.  

## Installation

Use the package manager [pip](https://pypi.org) to install deepfake-gitract.



```bash
pip install deepfake-gitract
```

## Usage

### Run on CPU (default setting)

```python
TBA - You have to have a NVIDIA GPU to run this package. We are working on CPU version.
```

### Run on GPU - generation process

```python
import deepfake_gitract

deepfake_gitract.generate(name, result_dir, checkpoint_dir, num_img_per_tile, num_of_outputs, trunc_psi=0.75):
    """ Generate deepfake Gastrointestinal tract images.

    Keyword arguments:
    name -- Any name to keep trac of generations
    result_dir -- A directory to save output
    checkpoint_dir -- A directory to download pre-trained checkpoints
    num_img_per_tile -- Number of images per dimenstion of the grid
    num_of_outputs -- Number of outputs to generate
    trunc_psi -- value between 0.5 and 1.0 (default 0.75)
    """
```

### Run on GPU - to generate interpolations between random points

```python
deepfake_gitract. generate_interpolation(name, result_dir, checkpoint_dir, num_img_per_tile, num_of_outputs, num_of_steps_to_interpolate, save_frames, trunc_psi=0.75):
    """ Generate deepfake Gastrointestinal tract images.

    Keyword arguments:
    name -- Any name to keep trac of generations
    result_dir -- A directory to save output
    checkpoint_dir -- A directory to download pre-trained checkpoints
    num_img_per_tile -- Number of images per dimenstion of the grid
    num_of_outputs -- Number of outputs to generate
    num_of_steps_to_interpolate -- Number of step between two random points
    save_frames -- True if you want frame by frame, otherwise .gif will be generated
    trunc_psi -- value between 0.5 and 1.0 (default 0.75)
    """
```

## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

## For more details: 
Please contact: vajira@simula.no, michael@simula.no

## License
[MIT](https://choosealicense.com/licenses/mit/)
deepflow-by-zuo 0.0.1
This is a mini but function complicated neural networks framework
Requires Python: >=3.6

# ABOUT

This is a mini deep learning framework create by zuo
## Features
- Define Dynamic Compuing Graph
- Define Neural Network Operator
- Define Linear,Sigmoid,L2_loss
- Auto-Diff Computing
- Auto-FeedForward and Backward

## Remain
- Classification
- Cross-Entropy
- CNN,RNN

## Connection
email:zzuuoo666@sina.com