semvec/pypi-packages huggingface dataset:
crcelk 1.3
CrcElk is an updated fork of the CrcMoose module for recent versions of Python. It provides a pure Python implementation of the CRC algorithm and allows for variants to easily be defined by providing their parameters such as width, starting polynomial, etc. Python versions 2.6+ and 3.1+ are supported.
License: MIT

CrcElk
======

|Github Issues| |PyPi Release|

CrcElk is an updated fork of the `CrcMoose <http://www.nightmare.com/~ryb/>`__
module for recent versions of Python. It provides a pure Python implementation
of the CRC algorithm and allows for variants to easily be defined by providing
their parameters such as width, starting polynomial, etc. Python versions 2.6+
and 3.1+ are supported.

Usage Example
-------------

.. code:: python

    >>> import crcelk
    >>> import struct
    >>> crc = crcelk.CRC_CCITT.calc_bytes(b'Hello World')
    >>> print("{0} (0x{0:04x})".format(crc))
    19749 (0x4d25)

License
-------

CrcElk is released under the same MIT license as the original CrcMoose
source. Details are available in the `file
header <https://github.com/zeroSteiner/crcelk/blob/master/crcelk.py#L4-L24>`__.

.. |Github Issues| image:: http://img.shields.io/github/issues/zerosteiner/crcelk.svg?style=flat-square
   :target: https://github.com/zerosteiner/crcelk/issues
.. |PyPi Release| image:: https://img.shields.io/pypi/v/crcelk.svg?style=flat-square
   :target: https://pypi.python.org/pypi/crcelk
RLkit 0.2.0
A simple RL library.
License: MIT

# RLkit: A simple Reinforcement Learning library

This project is still a work in progress. More algorithms and detailed documentation coming soon :)

Currently supported agents-

1. Random agent
2. REINFORCE (Policy Gradients)
3. DQN
4. DQN with baseline
5. Actor-Critic

See examples for details on how to use the library.

Requirements-
```
tensorflow==1.11.0
gym==0.10.8
numpy==1.15.4
```

## New in v0.2
- Added DQN and DQN with baseline agents
- Added ActorCritic agent
- Added support for various activation functions


## Upcoming
- Duelling DQN
- Support for logging and plotting
- Support for adding seeds
- Support for custom environments