Pinned Repositories
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algorithms
assignment1
Assignment 1: automatic differentiation
autodidact
A pedagogical implementation of Autograd
autograd
Efficiently computes derivatives of numpy code.
automatic-differentiation-framework
an automatic differentiation framework with dynamic graph/支持动态图的自动求导框架
awesome
A curated list of awesome lists
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-phd
Curated list of awesome advice, tips, and resources to prepare for PhD/grad school.
awesome-zero-knowledge-proofs
A curated list of awesome things related to learning Zero-Knowledge Proofs (ZKP).
lanseyege's Repositories
lanseyege/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
lanseyege/awesome-zero-knowledge-proofs
A curated list of awesome things related to learning Zero-Knowledge Proofs (ZKP).
lanseyege/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
lanseyege/distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Researchers
lanseyege/Graph
Algorithms about graph networks
lanseyege/irl-imitation
Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
lanseyege/irl-maxent
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
lanseyege/lanseyege
Config files for my GitHub profile.
lanseyege/lanseyege.github.io
lanseyege/lanseyege.github.io-copy
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
lanseyege/lets-do-irl
Inverse RL Algorithms (APP, MaxEnt, GAIL, VAIL)
lanseyege/linux_OM
lanseyege/maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
lanseyege/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
lanseyege/max-causal-ent-irl
Maximum Causal Entropy Inverse Reinforcement Learning
lanseyege/micrograd
A tiny autograd engine and a neural net library on top of it, potentially for educational purposes
lanseyege/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
Papers on Graph neural network(GNN)
lanseyege/pyplot_figure
lanseyege/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
lanseyege/pytorch-generative-adversarial-networks
A very simple generative adversarial network (GAN) in PyTorch
lanseyege/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.
lanseyege/PyTorch-Tutorial
Build your neural network easy and fast
lanseyege/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
lanseyege/RL_Algorithms
Reinforcement Learning Algorithms
lanseyege/routsota
lanseyege/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
lanseyege/talk-2018-essence-of-ad
The simple essence of automatic differentiation
lanseyege/The-Documentation-Compendium
📢 Various README templates & tips on writing high-quality documentation that people want to read.
lanseyege/vimrc
lanseyege/YeDeep
Another Deep Learning Framework