semvec/pypi-packages huggingface dataset:
ultimate 2.75.2
A scikit-learn compatible neural network implementation

# ultimate
A scikit-learn compatible neural network implementation

## Installation
pip install ultimate

## Why Ultimate?
+ Support feature importance
+ Support missing values
+ Support am2x/a2m2x activation functions
+ Support softmax/hardmax/mse/hardmse loss functions
+ Support fc/add/conv/star operations

## How To Use?
<pre>
# let's use a simple example to learn how to use
from ultimate.mlp import MLP
import numpy as np

# generate sample
X = np.linspace(-np.pi, np.pi, num=5000).reshape(-1, 1)
Y = np.sin(X)
print(X.shape, Y.shape)

# fit and predict
mlp = MLP(layer_size=[X.shape[1], 8, 8, 8, 1], rate_init=0.02, loss_type="mse", epoch_train=100, epoch_decay=10, verbose=1)

mlp.fit(X, Y)
pred = mlp.predict(X)

# show the result
import matplotlib.pyplot as plt  
plt.plot(X, pred)
plt.show()
</pre>
class-pool 0.7b1
Simple implementation of class pools for Python. Optional support for Django and DRF (if available)

# class-pool

Simple, but powerful library for python classes registries.

This tool bases on django's models pool with a lot of improvements.

*Features*
- thread-safe classes pool
- ad-hoc class registering
- auto class registering from packages
- custom class identifiers in a pool
- filtering classes during registration
- default class for unregistered identifiers
- pool classes choice field for Django models, forms and Django Rest Framework serializers

## Requirements
* Python 3
* django >= 1.7 (optional)

## Installation

``pip install class-pool``

## Documentation

https://py-class-pool.readthedocs.io/
emojislib 0.0.1
Emojis for Python �� �� ��

# emojislib

Emojis for Python �� �� ��

## Installation


To install the **emojislib** run:

```shell
pip install emojislib
```

## Usage


``emojis.Emojis`` is a dict which contains all emojis available in **emojislib**.There are two main types of methods in emojislib ,`by_` and `search_by_`.

### `by_`...


**by_name**

get one emoji by name

```python
import emojislib as emojis

emoji = emojis.by_name('eyes')

print("name:",emoji.name)
print("char:",emoji.char)
print("category:",emoji.category)
print("keywords:",emoji.keywords)
```

output:

```text
name: eyes
char: ��
category: people
keywords: ('look', 'watch', 'stalk', 'peek', 'see')
```

**by_cate**

get a list of emoji(s) by category.

```python
emoji = emojis.by_cate('animals_and_nature')
print(emoji)
```
output:

```text
animals_and_nature [ ��, ��, ��, ��, ��, ��, ⚡]
```

**by_key**

get a list of emoji(s) by keywords.

```python
emoji = emojis.by_key('winter')
print("winter:",emoji)
```

```text
winter: [❄️, ⛄, ☃, ��, ⛷, ��, ��]
```

### `search_by_`...

Thers are 3 `search_by_...` methods:

+ `search_by_name`
+ `search_by_key`
+ `search_by_cate`

Just replace **get emoji(s) by a exact str** with **get emoji(s) by a part of a exact str** compared with `by_...`.
maid 0.1.12
A package manager written in Python 3.7

# Maid

A package manager, written in Python 3.7, for Windows.

Status: **Alpha**

[![Build status](https://ci.appveyor.com/api/projects/status/isl3y0bxqk8kr2ls?svg=true)](https://ci.appveyor.com/project/dungwinux/maid)

## Installation

### Via `pip`

```sh
pip install maid
```

> Currently, Maid is depends on `pip` to update. In the future, Maid will be able to do self-update.

### Download pre-built binary

-   See: [Releases](https://github.com/dungwinux/Maid/releases)

> Note: Pre-built binary requires Microsoft Visual C++ 2017 Redistributable, which Windows 10 comes with by default. For older version of Windows, please search online for download links.

### Run source code

-   `git clone` this repository.
-   `python -r requirements.txt` to install all dependencies
-   Invoke `python -m maid -h`.