Pinned Repositories
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Evolutionary-Reinforcement-Learning
Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018
fusenet
Deep fusion project of deeply-fused nets, and the study on the connection to ensembling
GOTURN
Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016
gym-super-mario-bros
An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES
latplan
LatPlan : A domain-independent, image-based classical planner
matconvnet
MatConvNet: CNNs for MATLAB
pytorch-cifar-models
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
starcraft1
starcraft with reinforcement learning
state-marginal-matching
fuxianh's Repositories
fuxianh/state-marginal-matching
fuxianh/Evolutionary-Reinforcement-Learning
Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018
fuxianh/latplan
LatPlan : A domain-independent, image-based classical planner
fuxianh/996.TSC
996.ICU周边文化 | 创意板块(主站：996.ICU)
fuxianh/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
fuxianh/awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
fuxianh/bullet3
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
fuxianh/CIFAR-ZOO
PyTorch implementation of CNNs for CIFAR dataset (97.71% on cifar10)
fuxianh/cvpr2019
cvpr2019 papers，极市团队整理
fuxianh/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
fuxianh/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
fuxianh/DIM
Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
fuxianh/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
fuxianh/hindsight-experience-replay
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
fuxianh/learn2learn
PyTorch Meta-learning Framework for Researchers
fuxianh/leedeeprl-notes
李宏毅《深度强化学习》笔记，在线阅读地址：https://datawhalechina.github.io/leedeeprl-notes/
fuxianh/Lihang
Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata]
fuxianh/metaworld
An open source robotics benchmark for meta- and multi-task reinforcement learning
fuxianh/MNF_VBNN
Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks
fuxianh/NoveltySearchLevenshteinCode
Code to run experiments related to Novelty Search for Deep Reinforcement Learning Policy Network Weights by Action Sequence Edit Metric Distance
fuxianh/open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
fuxianh/pwc
Papers with code. Sorted by stars. Updated weekly.
fuxianh/pytorch-a2c-ppo-acktr-gail
PyTorch 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).
fuxianh/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
fuxianh/RandomizedValueFunctions
Randomized Value Functions via Multiplicative Normalizing Flows
fuxianh/RenZhengfei
任正非**
fuxianh/RLPaperList
Personal Repo to keep track of RL papers
fuxianh/Super-mario-bros-A3C-pytorch
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
fuxianh/tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
fuxianh/tianshou
An elegant, flexible, and superfast PyTorch deep Reinforcement Learning platform.