Data Science ToolkitCollection of stats, modeling, and data science tools in Python and R.
Stars: ✭ 169 (-6.63%)
Ml AgentsUnity Machine Learning Agents Toolkit
Stars: ✭ 12,134 (+6603.87%)
Hindsight Experience ReplayThis is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
Stars: ✭ 134 (-25.97%)
Deep AlgotradingA resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading
Stars: ✭ 173 (-4.42%)
RavensTrain robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
Stars: ✭ 133 (-26.52%)
SenseactSenseAct: A computational framework for developing real-world robot learning tasks
Stars: ✭ 153 (-15.47%)
Reinforcement learningImplementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
Stars: ✭ 132 (-27.07%)
Vizdoom Keras RlReinforcement Learning in Keras on VizDoom
Stars: ✭ 130 (-28.18%)
Iccv2019 LearningtopaintICCV2019 - A painting AI that can reproduce paintings stroke by stroke using deep reinforcement learning.
Stars: ✭ 1,995 (+1002.21%)
AixijsAIXIjs - General Reinforcement Learning in the Browser
Stars: ✭ 128 (-29.28%)
Simple rlA simple framework for experimenting with Reinforcement Learning in Python.
Stars: ✭ 179 (-1.1%)
Dm envA Python interface for reinforcement learning environments
Stars: ✭ 127 (-29.83%)
TradzqaiTrading environnement for RL agents, backtesting and training.
Stars: ✭ 150 (-17.13%)
MfrLearning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020
Stars: ✭ 127 (-29.83%)
Awesome Ml CoursesAwesome free machine learning and AI courses with video lectures.
Stars: ✭ 2,145 (+1085.08%)
Modular Rl[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"
Stars: ✭ 126 (-30.39%)
Energy PyReinforcement learning for energy systems
Stars: ✭ 148 (-18.23%)
HbayesdmHierarchical Bayesian modeling of RLDM tasks, using R & Python
Stars: ✭ 124 (-31.49%)
AdeptrlReinforcement learning framework to accelerate research
Stars: ✭ 173 (-4.42%)
Rl QuadcopterTeach a Quadcopter How to Fly!
Stars: ✭ 124 (-31.49%)
Awesome Federated LearningAll materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
Stars: ✭ 149 (-17.68%)
Rl MedicalDeep Reinforcement Learning (DRL) agents applied to medical images
Stars: ✭ 123 (-32.04%)
CoaxThis project was moved to: https://github.com/coax-dev/coax
Stars: ✭ 166 (-8.29%)
MultiagenttorcsThe multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.
Stars: ✭ 122 (-32.6%)
Open QuadrupedAn open-source 3D-printed quadrupedal robot. Intuitive gait generation through 12-DOF Bezier Curves. Full 6-axis body pose manipulation. Custom 3DOF Leg Inverse Kinematics Model accounting for offsets.
Stars: ✭ 148 (-18.23%)
Ros2learnROS 2 enabled Machine Learning algorithms
Stars: ✭ 119 (-34.25%)
RainbowA PyTorch implementation of Rainbow DQN agent
Stars: ✭ 147 (-18.78%)
MetarecPyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)
Stars: ✭ 120 (-33.7%)
Metalearning4nlp PapersA list of recent papers about Meta / few-shot learning methods applied in NLP areas.
Stars: ✭ 163 (-9.94%)
FiredupClone of OpenAI's Spinning Up in PyTorch
Stars: ✭ 119 (-34.25%)
Show Adapt And TellCode for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017
Stars: ✭ 146 (-19.34%)
Machine learning lecturesCollection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.
Stars: ✭ 118 (-34.81%)
Pytorch sacPyTorch implementation of Soft Actor-Critic (SAC)
Stars: ✭ 174 (-3.87%)
Tensor2tensorLibrary of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Stars: ✭ 11,865 (+6455.25%)
MindparkTestbed for deep reinforcement learning
Stars: ✭ 163 (-9.94%)
FewshotnlpThe source codes of the paper "Improving Few-shot Text Classification via Pretrained Language Representations" and "When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text Classification".
Stars: ✭ 115 (-36.46%)
Reinforce.jlAbstractions, algorithms, and utilities for reinforcement learning in Julia
Stars: ✭ 178 (-1.66%)
AllenactAn open source framework for research in Embodied-AI from AI2.
Stars: ✭ 144 (-20.44%)
Startcraft pysc2 minigamesStartcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.
Stars: ✭ 113 (-37.57%)
Awesome AiA curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)
Stars: ✭ 161 (-11.05%)
Ctc ExecutionerMaster Thesis: Limit order placement with Reinforcement Learning
Stars: ✭ 112 (-38.12%)
GbA minimal C implementation of Nintendo Gameboy - An fast research environment for Reinforcement Learning
Stars: ✭ 143 (-20.99%)
NavbotUsing RGB Image as Visual Input for Mapless Robot Navigation
Stars: ✭ 111 (-38.67%)
ElfAn End-To-End, Lightweight and Flexible Platform for Game Research
Stars: ✭ 2,057 (+1036.46%)
Deep CfrScalable Implementation of Deep CFR and Single Deep CFR
Stars: ✭ 158 (-12.71%)
Flappy EsFlappy Bird AI using Evolution Strategies
Stars: ✭ 140 (-22.65%)
Safe learningSafe reinforcement learning with stability guarantees
Stars: ✭ 140 (-22.65%)
Awesome Deep Learning Papers For Search Recommendation AdvertisingAwesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.
Stars: ✭ 136 (-24.86%)
MzsrMeta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)
Stars: ✭ 181 (+0%)
Andrew Ng NotesThis is Andrew NG Coursera Handwritten Notes.
Stars: ✭ 180 (-0.55%)
Tensorflow RlImplementations of deep RL papers and random experimentation
Stars: ✭ 176 (-2.76%)