quantumiracle/diffusion_imitation

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quantumiracle/adversarial-robustness-toolbox

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quantumiracle/WorldModels Fork of AppliedDataSciencePartners/WorldModels

An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf

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quantumiracle/website Fork of jonbarron/website

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quantumiracle/website-autovisitor

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quantumiracle/TF-Tutorials Fork of awjuliani/TF-Tutorials

A collection of deep learning tutorials using Tensorflow and Python

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quantumiracle/verilog_modules Fork of ilyajob05/verilog_modules

verilog modules

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quantumiracle/ustcthesis Fork of ustctug/ustcthesis

LaTeX template for USTC thesis v3.0

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quantumiracle/Vrep

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quantumiracle/VAE-CNN Fork of polonez/VAE-CNN

Variational Auto-Encoder with Convolutional Neural Network

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quantumiracle/UPESI

Code for paper Not Only Domain Randomization: Universal Policy with Embedding System Identification.

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quantumiracle/tutorials Fork of MorvanZhou/tutorials

机器学习相关教程

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quantumiracle/thoughts

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quantumiracle/TCN Fork of locuslab/TCN

Sequence modeling benchmarks and temporal convolutional networks

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quantumiracle/tensorlayer Fork of tensorlayer/TensorLayer

Deep Learning and Reinforcement Learning Library for Scientists

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quantumiracle/tensorly Fork of YangletLiu/tensorly

TensorLy: Tensor Learning in Python.

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quantumiracle/TensorFlow-Tutorials Fork of Hvass-Labs/TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

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quantumiracle/spinningup Fork of openai/spinningup

An educational resource to help anyone learn deep reinforcement learning.

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quantumiracle/Tensorflow-Tutorial Fork of MorvanZhou/Tensorflow-Tutorial

Tensorflow tutorial from basic to hard

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quantumiracle/Tensor-GAN Fork of YangletLiu/Tensor-GAN

Tensor GAN

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quantumiracle/softlearning Fork of rail-berkeley/softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains.

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quantumiracle/TensorFlow-Examples Fork of aymericdamien/TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

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quantumiracle/street-fighter-ai Fork of linyiLYi/street-fighter-ai

This is an AI agent for Street Fighter II Champion Edition.

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quantumiracle/taichi Fork of taichi-dev/taichi

Productive & portable high-performance programming in Python.

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quantumiracle/TD3 Fork of sfujim/TD3

PyTorch implementation of TD3 and DDPG for OpenAI gym tasks

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quantumiracle/store3

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quantumiracle/StepNeverStop Fork of StepNeverStop/StepNeverStop

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quantumiracle/store2

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quantumiracle/Store

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quantumiracle/stas00 Fork of stas00/stas00

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quantumiracle/sphinx_rtd_theme Fork of readthedocs/sphinx_rtd_theme

Sphinx theme for readthedocs.org

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quantumiracle/single-parameter-fit Fork of Ranlot/single-parameter-fit

Real numbers, data science and chaos: How to fit any dataset with a single parameter

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quantumiracle/Soft-Decision-Tree Fork of xuyxu/Soft-Decision-Tree

Distilling a Neural Network Into a Soft Decision Tree., Nicholas Frosst, Geoffrey Hinton., 2017.

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quantumiracle/rocket-recycling Fork of jiupinjia/rocket-recycling

Rocket-recycling with Reinforcement Learning

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quantumiracle/sawyer_control Fork of mihdalal/sawyer_control

Python3 ROS Interface to Rethink Sawyer Robots with OpenAI Gym Compatibility

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quantumiracle/shap Fork of shap/shap

A game theoretic approach to explain the output of any machine learning model.

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quantumiracle/sensenet Fork of jtoy/sensenet

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quantumiracle/safety_rl

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quantumiracle/Robot_Learning2

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quantumiracle/Robot_Learning

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quantumiracle/robolite Fork of gzz2000/robolite

This is a fork of Surreal Robotics Suite that enables support to domain randomization and inverse kinematics (IK).

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quantumiracle/Robotics_Modules

A collection of basic modules used in robotics.

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quantumiracle/Robosuite-Panda-IK

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quantumiracle/RL_RLBench

Reinforcement Learning for RLBench

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quantumiracle/rnnlib Fork of szcom/rnnlib

RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/

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quantumiracle/rl_a3c_pytorch Fork of dgriff777/rl_a3c_pytorch

A3C LSTM Atari with Pytorch plus A3G design

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quantumiracle/rllab Fork of rll/rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

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quantumiracle/RL-Adventure-2 Fork of higgsfield-ai/higgsfield

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

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quantumiracle/RL-Adventure Fork of higgsfield/RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

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quantumiracle/research-and-coding Fork of zsdonghao/research-and-coding

研究资源列表 A curated list of research resources

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quantumiracle/Reinforcement-learning-with-tensorflow Fork of MorvanZhou/Reinforcement-learning-with-tensorflow

Reinforcement learning tutorials

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quantumiracle/reinforcement-learning Fork of dennybritz/reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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quantumiracle/reinforcement-learning-an-introduction Fork of ShangtongZhang/reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

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quantumiracle/real_robots Fork of AIcrowd/real_robots

Gym environments for Robots that learn to interact with the environment autonomously

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quantumiracle/qubit-discrimination-paper

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quantumiracle/qubit-discrimination

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quantumiracle/quantumiracle

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quantumiracle/PyTorch-Tutorial Fork of MorvanZhou/PyTorch-Tutorial

Build your neural network easy and fast

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quantumiracle/pytorch-nfsp Fork of younggyoseo/pytorch-nfsp

Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)

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quantumiracle/pytorch-maml Fork of katerakelly/pytorch-maml

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

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quantumiracle/pytorch-a2c-ppo-acktr Fork of ikostrikov/pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

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quantumiracle/pysc2 Fork of google-deepmind/pysc2

StarCraft II Learning Environment

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quantumiracle/pytorch-maml-rl Fork of tristandeleu/pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

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quantumiracle/python_autocomplete Fork of vpj/python_autocomplete

A simple neural network for python autocompletion

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quantumiracle/PyRep Fork of stepjam/PyRep

A toolkit for robot learning research.

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quantumiracle/Pupil-detection

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quantumiracle/progressive_growing_of_gans Fork of tkarras/progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

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quantumiracle/poker Fork of vpj/poker

🃏♠️♥️♦️♣️

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quantumiracle/ptan Fork of Shmuma/ptan

PyTorch Agent Net: reinforcement learning toolkit for pytorch

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quantumiracle/PRML Fork of ctgk/PRML

PRML algorithms implemented in Python

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quantumiracle/PointNet_Landmarks_from_Image

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quantumiracle/PILCO Fork of nrontsis/PILCO

Bayesian Reinforcement Learning in Tensorflow

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quantumiracle/Photorealistic-Style-Transfer Fork of limingcv/Photorealistic-Style-Transfer

High-Resolution Network for Photorealistic Style Transfer

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quantumiracle/oyster Fork of katerakelly/oyster

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

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quantumiracle/openmlsys-zh Fork of openmlsys/openmlsys-zh

《机器学习系统：设计与实现》

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quantumiracle/openai-cartpole Fork of kvfrans/openai-cartpole

random search, hill climbing, policy gradient

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quantumiracle/osim-rl Fork of stanfordnmbl/osim-rl

Reinforcement learning environments with musculoskeletal models

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quantumiracle/neurips2019_disentanglement_challenge_starter_kit Fork of AIcrowd/neurips2019_disentanglement_challenge_starter_kit

Starter Kit for the NeurIPS 2019 Disentanglement Challenge

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quantumiracle/Neural-Network-in-Ion-Trap

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quantumiracle/NJ_mvc_appointment

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quantumiracle/neural-mmo Fork of openai/neural-mmo

Neural MMO - A Massively Multiagent Game Environment

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quantumiracle/nn_pde

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quantumiracle/neural-backed-decision-trees Fork of alvinwan/neural-backed-decision-trees

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

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quantumiracle/Nips2017Learning2Run

Language: Python - Size: 69.9 MB - Last synced: 19 days ago - Pushed: over 4 years ago - Stars: 0 - Forks: 1

quantumiracle/netket Fork of netket/netket

Machine learning algorithms for many-body quantum systems

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quantumiracle/multigame-dt Fork of etaoxing/multigame-dt

Implementation of Multi-Game Decision Transformers in PyTorch

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quantumiracle/marl_tf Fork of hardmaru/slimevolleygym

A simple OpenAI Gym environment for single and multi-agent reinforcement learning

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quantumiracle/Muesli-lunarlander Fork of Itomigna2/Muesli-lunarlander

Muesli RL algorithm implementation (PyTorch) (LunarLander-v2)

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quantumiracle/minimalRL Fork of seungeunrho/minimalRL

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

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quantumiracle/models Fork of Sarasra/models

Models and examples built with TensorFlow

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quantumiracle/MinAtar Fork of kenjyoung/MinAtar

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quantumiracle/Meta-Learning-for-Reinforcement-Learning

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quantumiracle/mdp Fork of BlackHC/mdp

Make it easy to specify simple MDPs that are compatible with the OpenAI Gym.

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quantumiracle/marl_torch

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quantumiracle/marathon-envs Fork of Unity-Technologies/marathon-envs

A set of high-dimensional continuous control environments for use with Unity ML-Agents Toolkit.

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quantumiracle/maml_rl Fork of cbfinn/maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

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quantumiracle/Kalman-and-Bayesian-Filters-in-Python Fork of rlabbe/Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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quantumiracle/learning_note Fork of marooncn/learning_note

A collection of my learning notes

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quantumiracle/ion-trap-tomography-simulation

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quantumiracle/ion-trap-tomography-experiment

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