AutokernelAutoKernel 是一个简单易用,低门槛的自动算子优化工具,提高深度学习算法部署效率。
Ml MiptOpen Machine Learning course at MIPT
Tensorflow BookAccompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Awesome RoboticsA curated list of awesome links and software libraries that are useful for robots.
NeurojsA JavaScript deep learning and reinforcement learning library.
Robosuiterobosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Rl BookSource codes for the book "Reinforcement Learning: Theory and Python Implementation"
Recsim A Configurable Recommender Systems Simulation Platform
CoursesQuiz & Assignment of Coursera
Robotics Rl SrlS-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
Torch LightDeep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.
Tensor HouseA collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain
Reinforcement learning tutorial with demoReinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
SmacSMAC: The StarCraft Multi-Agent Challenge
Spot mini miniDynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
HuskarlDeep Reinforcement Learning Framework + Algorithms
Mlinterview A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
World ModelsReimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
Deep Rl KerasKeras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
UnrealReinforcement learning with unsupervised auxiliary tasks
MaroMulti-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
Starcraft Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
Home PlatformHoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.
Reinforcement Learning In Portfolio Management In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.
Lagomlagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
QtraderReinforcement Learning for Portfolio Management
RecnnReinforced Recommendation toolkit built around pytorch 1.7
GenrlA PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
Meta RlImplementation of Meta-RL A3C algorithm
CleanrlHigh-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features
Ai BlogAccompanying repository for Let's make a DQN / A3C series.
Tf2rlTensorFlow2 Reinforcement Learning
CurlCURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Arxivtimesrepository to research & share the machine learning articles
Pomdps.jlMDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
TrpoTrust Region Policy Optimization with TensorFlow and OpenAI Gym
RlzooA Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀