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Google
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Stars
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Companion webpage to the book "Mathematics For Machine Learning"
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Tools to work with the big reddit JSON data dump.
Cython-based, NumPy-aware automatic wrapper generation for C / C++.
A small C++ implementation of LSTM networks, focused on OCR.
Efficiently computes derivatives of NumPy code.
Package for Statistically significant linguistic change
Tutorial on scikit-learn and IPython for parallel machine learning
LSTM Neural Network in Python and Cython, used for language modelling
Scientific computing using Python, IPython and Scikits.
Multilingual text (NLP) processing toolkit
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
Data and code behind the articles and graphics at FiveThirtyEight
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
The fundamental package for scientific computing with Python.
scikit-learn: machine learning in Python
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…


