semvec/pypi-packages huggingface dataset:
pycmark 0.9.6
CommonMark parser for docutils
Requires Python: >=3.6

# pycmark

A [CommonMark](https://commonmark.org/) parser for docutils.

## Features

* Provides `md2html` command
* Provides `pycmark.CommonMarkParser` component for docutils
* Customizable parser
  * All syntax are implemented as module
  * Developers can customize syntax via adding/removing the modules
* Compatibility
  * Passed all spec of [CommonMark 0.29](https://spec.commonmark.org/0.29/).
  * But docutils can't represent following document structure. Therefor they are disabled by default
    * Hard line break
    * deeper headings appeared before shallow one
pynq-cdma 0.1.0
PYNQ Driver for Xilinx Central Direct Memory Access IP
Requires Python: >=3.6

# PYNQ-CDMA-Driver
 PYNQ Driver for Xilinx Central Direct Memory Access IP

## Installation

```sh
pip install pynq_cdma
```

## Usage

Currently, we only support simple DMA transfer

### Auto bind

First import `CDMA`

```python
from pynq_cdma import CDMA
```

Now if your design contains CDMA IP, Pynq will automatically bind it to a `CDMA` instance.

You can check its status by accessing the `idle` property:

```python
from pynq import Overlay
ol = Overlay('top.bit')
print(ol.axi_cdma_0.idle)
```

### Data transfer

```python
import numpy as np
from pynq import allocate
input_buffer = allocate(shape=(8,), dtype=np.uint8)
output_buffer = allocate(shape=(8,), dtype=np.uint8)
for i in range(8):
    input_buffer[i] = i
ol.axi_cdma_0.transfer(input_buffer, 0xF000_0000)
ol.axi_cdma_0.transfer(0xF000_0000, output_buffer)
print(output_buffer)
```
TradeEngine 1.0.6
a small package for simulate trading
Requires Python: >=3.7


![Alt text](logo.png)

![GitHub](https://img.shields.io/github/license/xibalbas/trade-engine)
![GitHub all releases](https://img.shields.io/github/downloads/xibalbas/trade-engine/total)
![GitHub contributors](https://img.shields.io/github/contributors/xibalbas/trade-engine)
![GitHub repo size](https://img.shields.io/github/repo-size/xibalbas/trade-engine)
![GitHub top language](https://img.shields.io/github/languages/top/xibalbas/trade-engine)

# Trade Engine

a library for demo trading | backtest and forward test simulation

## Features

# Requirements

# Getting start

# Contributing
Contributions are very welcome. There are a number of requirements:
* See Issues tab, and feel free to submit your own issues
* Add PRs if you discover a solution to an existing issue
* The code should be Pep8 compliant.
* Comments are required for every class and function and they should be a clear description.
* At least one broad test case and a set of unit tests must be provided for every function.
* Avoid very pythonic construction

# License
`trade-engine` is freely available under the MIT [license](https://github.com/xibalbas/trade-engine/blob/master/LICENSE).
Fas14MNet 0.1.2
CNN architecture for Image Classification
Keywords: image classification,cnn


This is a project intended to create a new CNN Network for Image Classification. Fas14MNet can also be used for Multi-Label Image Classification and in this project we try to create a CNN that will work equally well with for Traditional AI architectures as well as a Federated Architecture and Fas14MNet helps us achieve that. Fas14MNet is inspired from the basic architecture of a ResNet50 model but is much lighter while having ~15M parameters compared to 23M+ parameters in a ResNet50 model.


Steps to run:

1. from fas14mnet.net import Fas14MNet

2. model = Fas14MNet(num_classes)
pack1234 1.0.4
a small package for simulate trading
Requires Python: >=3.7


![Alt text](logo.png)

![GitHub](https://img.shields.io/github/license/xibalbas/trade-engine)
![GitHub all releases](https://img.shields.io/github/downloads/xibalbas/trade-engine/total)
![GitHub contributors](https://img.shields.io/github/contributors/xibalbas/trade-engine)
![GitHub repo size](https://img.shields.io/github/repo-size/xibalbas/trade-engine)
![GitHub top language](https://img.shields.io/github/languages/top/xibalbas/trade-engine)

# Trade Engine

a library for demo trading | backtest and forward test simulation

## Features

# Requirements

# Getting start

# Contributing
Contributions are very welcome. There are a number of requirements:
* See Issues tab, and feel free to submit your own issues
* Add PRs if you discover a solution to an existing issue
* The code should be Pep8 compliant.
* Comments are required for every class and function and they should be a clear description.
* At least one broad test case and a set of unit tests must be provided for every function.
* Avoid very pythonic construction

# License
`trade-engine` is freely available under the MIT [license](https://github.com/xibalbas/trade-engine/blob/master/LICENSE).