DaomingLyu's repositories
pytorch_active_learning
PyTorch Introduction to Active Learning
First-steps-towards-Deep-Learning
This is an open sourced book on deep learning.
TD3
PyTorch implementation of TD3 and DDPG for OpenAI gym tasks
Hands-On-Reinforcement-Learning-With-Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
DRL-1
Repository for codes of 'Deep Reinforcement Learning'
docker_openai_gym
A Docker image for using openai gym with pytorch
lihang-code
《统计学习方法》的代码实现
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
pytorch-dilated-rnn
Dilated RNNs in pytorch
SPIBB-DQN
Code for SPIBB-DQN and Soft-SPIBB-DQN
AlphaZero
A replication of Alpha(Go) Zero.
dogTorch
Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf
pysc2
StarCraft II Learning Environment
NSCL-PyTorch-Release
PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
deep_learning_cookbook
Deep Learning Cookbox
neural-logic-machines
Implementation for the Neural Logic Machines (NLM).
SPIBB
Safe Policy Improvement with Baseline Bootstrapping
lihang_book_algorithm
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
coach
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
DQN-tensorflow
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
irl-imitation
Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Stein-Variational-Gradient-Descent
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
a-PyTorch-Tutorial-to-Image-Captioning
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
unified-hrl
Unified Model-Free Hierarchical Reinforcement Learning Framework
neural-symbolic-machines
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
AdaBound
An optimizer that trains as fast as Adam and as good as SGD.