Stars
freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
An Open Source Machine Learning Framework for Everyone
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
scikit-learn: machine learning in Python
🦀 Small exercises to get you used to reading and writing Rust code!
📚 Collaborative cheatsheets for console commands
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
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 ;)
The most cited deep learning papers
📊 Path to a free self-taught education in Data Science!
Interactive Data Visualization in the browser, from Python
Magenta: Music and Art Generation with Machine Intelligence
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Scala 2 compiler and standard library. Scala 2 bugs at https://github.com/scala/bug; Scala 3 at https://github.com/scala/scala3
A platform to build and run apps that are elastic, agile, and resilient. SDK, libraries, and hosted environments.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Deep learning library featuring a higher-level API for TensorFlow.
Bayesian Modeling and Probabilistic Programming in Python
Automatic extraction of relevant features from time series:
A Python implementation of global optimization with gaussian processes.
Recipes for using Python's pandas library
Preview GitHub README.md files locally before committing them.