Stars
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Studying for a tech interview sucks. Here's an open source cheat sheet to help
A List of Data Science/Machine Learning Resources (Mostly Free)
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Deep Interaction Prediction Network with Application to Clutter Removal
PyTorch implementation of Soft Actor-Critic (SAC)
This repository contains implementations and illustrative code to accompany DeepMind publications
pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
Dream to Control: Learning Behaviors by Latent Imagination
ChainerRL is a deep reinforcement learning library built on top of Chainer.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …
A large-scale benchmark and learning environment.
wilson1yan / dm_control
Forked from google-deepmind/dm_controlThe DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo physics engine.
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
A generative model conditioned on shape and appearance.
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
This repository is outdated and new Boost Note app is available! We've launched a new Boost Note app which supports real-time collaborative writing. https://github.com/BoostIO/BoostNote-App
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.