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Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Graph Neural Network Library for PyTorch
Datasets, Transforms and Models specific to Computer Vision
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Python bindings for FFmpeg - with complex filtering support
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Flax is a neural network library for JAX that is designed for flexibility.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
hill-a / stable-baselines
Forked from openai/baselinesA fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Learning to Learn in TensorFlow
Simple cross-platform colored terminal text in Python
Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Gin provides a lightweight configuration framework for Python
A learning rate range test implementation in PyTorch
ML Collections is a library of Python Collections designed for ML use cases.
High throughput synchronous and asynchronous reinforcement learning
⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
🕹️ A diverse suite of scalable reinforcement learning environments in JAX