havenoname's repositories
awesome-self-supervised-learning
A curated list of awesome Self-Supervised methods
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
episodic-curiosity
Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability
go-explore
Code for Go-Explore: a New Approach for Hard-Exploration Problems
google-research
Google AI Research
ICLR2019-RL-Papers
The Reinforcement-Learning-Related Papers of ICLR 2019
insightface
Face Analysis Project on MXNet
Model-Free-Episodic-Control-1
Model-Free-Episodic-Control implementation based on DeepMinds paper: http://arxiv.org/abs/1606.04460
models
Models and examples built with TensorFlow
multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
multiworld
Multitask Environments for RL
pytorch-a2c-ppo-acktr
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).
q-learning-delusion
A counterexample for Q-Learning, discussed in "Non-delusional Q-learning and value-iteration."
synthetic-computer-vision
A list of synthetic dataset and tools for computer vision
visual_foresight
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
worldmodels.github.io
World Models
WorldModelsExperiments
World Models Experiments