- #[global_allocator]
Highlights
Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
All Algorithms implemented in Python
🤗 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.
Command-line program to download videos from YouTube.com and other video sites
The Python micro framework for building web applications.
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
The world's simplest facial recognition api for Python and the command line
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A toolkit for developing and comparing reinforcement learning algorithms.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
💫 Industrial-strength Natural Language Processing (NLP) in Python
The fundamental package for scientific computing with Python.
⚡ A Fast, Extensible Progress Bar for Python and CLI
You like pytorch? You like micrograd? You love tinygrad! ❤️
Google Chromium, sans integration with Google
A Deep Learning based project for colorizing and restoring old images (and video!)
The interactive graphing library for Python ✨
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.



