semvec/pypi-packages huggingface dataset:
Toxa4-Sup 0.0.2
This is my 1st project
Requires Python: >=3.5

[New!]
    
    1) Added description of functions in the executable file
    2) New class Foto
    
[Classes]

    Corr - error correcting class
    Help - class with minification code
    Foto - редактор фото

[Features]

    Corr.inputs (input ()) - helps to remove all spaces in the input () command
    Help.temo_po_name (‘City name in Russian’) - returns the city temperature in Celsius


[In the plans]

    New classes and functions
francium 0.0.3.dev1
A simple library for testing out AI Algorithms
Requires Python: >=3.6

<h1 align="center">Projekt Francium</h1>

<div align="center">
<img src="https://raw.githubusercontent.com/satyajitghana/ProjektFrancium/master/logo.png">
</div>

---

A package to test out AI Algorithms in Python

## Install

```shell script
pip install git+https://github.com/satyajitghana/ProjektFrancium
```

## [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/satyajitghana/ProjektFrancium/blob/master/FranciumColab.ipynb)

## Example Usage

```python
import francium.algorithms.hill_climbing as hc
import francium.core.eval_functions as eval_functions
from francium.core import State

agent = hc.Agent(step_size=1e-1)
env = hc.Environment(x_bounds=(-5.0, 5.0), y_bounds=(-5.0, 5.0), eval_func=eval_functions.sinx_plus_x)
solver = hc.Solver(agent=agent, environment=env)

solver.init_solver(
    init_state=State({
        'x': 4.0,
        'y': 2.0,
        'z': env.evaluation_func(4.0, 2.0)
    })
)

for episode in range(1000):
    trainable = solver.train_step()
    if not trainable:
        break

solver.plot_history()

env.plot_environment()

```

see `notebooks` for more examples

---

<h3 align="center">Made with 💘 by shadowleaf</h3>
simplestat 0.8
Very minimal statistics module. Useful when you dont have the disk space for numpy
Requires Python: >=2.7

# simplestat
Very minimal statistics module. Useful when you dont have the disk space for numpy

Only contains the following functions (and only for 1d arrays):
mean(q)
std(q,m=None)#can set m=mean(q) to save computation time
min(q)
argmin(q)
max(q)
argmax(q)
statinf(q)
  return information about the object as dictionary
sstr(q)
  statinf+json.dumps(indent=2)
sprint(q)
  print(sstr())
freqlearning 0.1
frequency domain learning

# Frequency learning  
This library allows to work with images in frequency domain and after that return to the spatial domain.

Available conversions in the frequency spectrum:
- LinearFourier2d
- GeneralFourier2d

## Usage
Example:
```
from freqlearning import LinearFourier2d
```

### PyPI version:

$ pip install freqlearning
Latest version from source:

$ pip install git+https://github.com/YaroslavBespalov/freqlearning/freqlearning

### Requirements
Installing requirements by pip:
```pip3 install --upgrade -r ./requirements.txt```