Stars
A complete computer science study plan to become a software engineer.
An Open Source Machine Learning Framework for Everyone
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
A JS library for predictable global state management
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Phaser is a fun, free and fast 2D game framework for making HTML5 games for desktop and mobile web browsers, supporting Canvas and WebGL rendering.
A toolkit for developing and comparing reinforcement learning algorithms.
PyTorch Tutorial for Deep Learning Researchers
A complete daily plan for studying to become a machine learning engineer.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Distributed Task Queue (development branch)
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Component infrastructure and Material Design components for Angular
Data Apps & Dashboards for Python. No JavaScript Required.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Open standard for machine learning interoperability
Interactive Data Visualization in the browser, from Python
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5