🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Fastest unstructured dataset management for TensorFlow/PyTorch. Stream data real-time & version-control it. http://activeloop.ai
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Open source hardware and software platform to build a small scale self driving car.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
Tensorforce: a TensorFlow library for applied reinforcement learning
An open source library for deep learning end-to-end dialog systems and chatbots.
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
An implementation of model parallel GPT2& GPT3-like models, with the ability to scale up to full GPT3 sizes (and possibly more!), using the mesh-tensorflow library.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.