Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Deep Reinforcement Learning for Keras.
Tensorforce: a TensorFlow library for applied reinforcement learning
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Scalable, event-driven, deep-learning-friendly backtesting library
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving