semvec/pypi-packages huggingface dataset:
ChinesePy 1.0.2
中文函数，适合初学菜鸟……

# ChinesePy v1.0.2

## ChBase

_base_

```
打印
```

_data_type_
```
'二进制', '八进制', '十六进制', '十进制', '整型', '浮点型', '绝对值', '字符串'
```

_list_func_
```
'最大值', '最小值', '元组转列表','第_项', '第_至_项'
```
Zeras 0.4.4
A package of deep-learning utilities.

# Zeras

A package of deep-learning utilities.


## Description

Common to tf and torch:

```
from Zeras.data_parallelism import DataParallelism, get_files_with_ext
from Zeras.data_batcher import DataBatcher

from Zeras.vocab import Vocab

from Zeras.model_settings_baseboard import ModelSettingsBaseboard
```


Specific to tf:

```
from Zeras.model_baseboard import ModelBaseboard
from Zeras.model_baseboard import initialize_from_ckpt
from Zeras.model_baseboard import remove_from_trainable_variables

from Zeras.optim import linear_warmup_and_exp_decayed_lr
from Zeras.optim import linear_warmup_and_polynomial_decayed_lr
from Zeras.optim import adam_optimizer
from Zeras.optim import adam_wd_optimizer
from Zeras.optim import AdamWeightDecayOptimizer

import Zeras.zoo_nn as zrs_nn
import Zeras.zoo_layers as zrs_layers
```


## Installation

From PyPI distribution system:

```
pip install Zeras
```


Or from the code:

```
git clone https://github.com/Li-Ming-Fan/Zeras
cd Zeras
make clean install
```


Or just incorporate the directory Zeras/ to your project.



## Usage

For usage of this package, please refer to the repositories:

https://github.com/Li-Ming-Fan/text_classification

https://github.com/Li-Ming-Fan/transformer-tensorflow

https://github.com/Li-Ming-Fan/pointer-generator-refactored


</br>

## Acknowledgement

The name "Zeras" is a variant from Keras. We use "Z" because it makes the direcory Zeras/ always display in the last (or first) and do not intersect other directories.
kolin 0.6
Allows you to use kolin language
Requires Python: >=3.0

![Windows_Terminal_Logo_256x256](https://storage.googleapis.com/replit/images/1584107512084_8181280afcbe6d3f852b5b8e27d3feab.png)

Pyshell is a UNIX shell coding language. The logo of the language is the picture above. Use kolin.run to run the code from a .kn file.