lanseyege's repositories
awesome-blockchain-cn
收集所有区块链(BlockChain)技术开发相关资料，包括Fabric和Ethereum开发资料
awesome-zero-knowledge-proofs
A curated list of awesome things related to learning Zero-Knowledge Proofs (ZKP).
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Researchers
irl-imitation
Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
irl-maxent
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
lanseyege.github.io-copy
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
lets-do-irl
Inverse RL Algorithms (APP, MaxEnt, GAIL, VAIL)
maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
max-causal-ent-irl
Maximum Causal Entropy Inverse Reinforcement Learning
micrograd
A tiny autograd engine and a neural net library on top of it, potentially for educational purposes
Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
Papers on Graph neural network(GNN)
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
pytorch-generative-adversarial-networks
A very simple generative adversarial network (GAN) in PyTorch
PyTorch-RL
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
PyTorch-Tutorial
Build your neural network easy and fast
Reprodction-of-MAXIMUM-ENTROPY-CORRELATED-EQUILIBRIA-FOR-MARKOV-GAMES
Reproduction of the Maximum Causal Entropy theory proposed by Brian in The Principle of Maximum Causal Entropy for Estimating Interacting Processes
RL_Algorithms
Reinforcement Learning Algorithms
stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
talk-2018-essence-of-ad
The simple essence of automatic differentiation
The-Documentation-Compendium
📢 Various README templates & tips on writing high-quality documentation that people want to read.