jax-rlJAX implementations of core Deep RL algorithms
Stars: ✭ 61 (+221.05%)
omdJAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
Stars: ✭ 43 (+126.32%)
Awesome Automl And Lightweight ModelsA list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
Stars: ✭ 691 (+3536.84%)
Auto SklearnAutomated Machine Learning with scikit-learn
Stars: ✭ 5,916 (+31036.84%)
protoProto-RL: Reinforcement Learning with Prototypical Representations
Stars: ✭ 67 (+252.63%)
Smac3Sequential Model-based Algorithm Configuration
Stars: ✭ 564 (+2868.42%)
NniAn open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Stars: ✭ 10,698 (+56205.26%)
mindwareAn efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
Stars: ✭ 34 (+78.95%)
AuptimizerAn automatic ML model optimization tool.
Stars: ✭ 166 (+773.68%)
HyperactiveA hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.
Stars: ✭ 182 (+857.89%)
Pytorch TrpoPyTorch implementation of Trust Region Policy Optimization
Stars: ✭ 303 (+1494.74%)
Hpbandstera distributed Hyperband implementation on Steroids
Stars: ✭ 456 (+2300%)
AtmAuto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
Stars: ✭ 504 (+2552.63%)
TpotA Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Stars: ✭ 8,378 (+43994.74%)
DeephyperDeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Stars: ✭ 117 (+515.79%)
Mlmodelsmlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...
Stars: ✭ 145 (+663.16%)
DrqDrQ: Data regularized Q
Stars: ✭ 268 (+1310.53%)
Boml Bilevel Optimization Library in Python for Multi-Task and Meta Learning
Stars: ✭ 120 (+531.58%)
Pytorch sac aePyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
Stars: ✭ 94 (+394.74%)
Deeprl algorithmsDeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
Stars: ✭ 97 (+410.53%)
FEDOTAutomated modeling and machine learning framework FEDOT
Stars: ✭ 312 (+1542.11%)
yarllCombining deep learning and reinforcement learning.
Stars: ✭ 84 (+342.11%)
Pytorch sacPyTorch implementation of Soft Actor-Critic (SAC)
Stars: ✭ 174 (+815.79%)
Rainy☔ Deep RL agents with PyTorch☔
Stars: ✭ 39 (+105.26%)
AutogluonAutoGluon: AutoML for Text, Image, and Tabular Data
Stars: ✭ 3,920 (+20531.58%)
Awesome Automl PapersA curated list of automated machine learning papers, articles, tutorials, slides and projects
Stars: ✭ 3,198 (+16731.58%)
learning-to-drive-in-5-minutesImplementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
Stars: ✭ 227 (+1094.74%)
Mljar SupervisedAutomated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
Stars: ✭ 961 (+4957.89%)
TianshouAn elegant PyTorch deep reinforcement learning library.
Stars: ✭ 4,109 (+21526.32%)
maggyDistribution transparent Machine Learning experiments on Apache Spark
Stars: ✭ 83 (+336.84%)
MilanoMilano is a tool for automating hyper-parameters search for your models on a backend of your choice.
Stars: ✭ 140 (+636.84%)
Automl alexState-of-the art Automated Machine Learning python library for Tabular Data
Stars: ✭ 132 (+594.74%)
BtbA simple, extensible library for developing AutoML systems
Stars: ✭ 159 (+736.84%)
Auto ml[UNMAINTAINED] Automated machine learning for analytics & production
Stars: ✭ 1,559 (+8105.26%)
RayAn open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Stars: ✭ 18,547 (+97515.79%)
LaleLibrary for Semi-Automated Data Science
Stars: ✭ 198 (+942.11%)
Deep-Reinforcement-Learning-NotebooksThis Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.
Stars: ✭ 15 (-21.05%)
pymfePython Meta-Feature Extractor package.
Stars: ✭ 89 (+368.42%)
Deep-Reinforcement-Learning-CS285-PytorchSolutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
Stars: ✭ 104 (+447.37%)
Awesome System For Machine LearningA curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.
Stars: ✭ 1,185 (+6136.84%)
Mushroom RlPython library for Reinforcement Learning.
Stars: ✭ 442 (+2226.32%)
MinimalrlImplementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Stars: ✭ 2,051 (+10694.74%)
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..
Stars: ✭ 442 (+2226.32%)
mujoco-benchmarkProvide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library
Stars: ✭ 101 (+431.58%)
Pytorch A2c Ppo Acktr GailPyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Stars: ✭ 2,632 (+13752.63%)
Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Stars: ✭ 394 (+1973.68%)
LWDRLCLightweight deep RL Libraray for continuous control.
Stars: ✭ 14 (-26.32%)
pomdp-baselinesSimple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022
Stars: ✭ 162 (+752.63%)
codeflareSimplifying the definition and execution, scaling and deployment of pipelines on the cloud.
Stars: ✭ 163 (+757.89%)
Lagomlagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Stars: ✭ 364 (+1815.79%)
HypernetsA General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Stars: ✭ 221 (+1063.16%)
ultraoptDistributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
Stars: ✭ 93 (+389.47%)
ddrlDeep Developmental Reinforcement Learning
Stars: ✭ 27 (+42.11%)
Meta-TTSOfficial repository of https://arxiv.org/abs/2111.04040v1
Stars: ✭ 69 (+263.16%)
Meta-SelfLearningMeta Self-learning for Multi-Source Domain Adaptation: A Benchmark
Stars: ✭ 157 (+726.32%)
citoA Contact-Implicit Trajectory Optimization Package
Stars: ✭ 20 (+5.26%)