liuyan's repositories
neurocuts-master
neurocate(including many alorithm ,such as hicuts,hypercuts,efficuts and etc)
Reinforcement-Learning-Approach-to-Packet-Routing-on-a-Dynamic-Network
Packet routing simulation on a dynamic network using Shortest Path Routing, Q-learning, and Deep Q-learning
a-deep-rl-approach-for-sdn-routing-optimization
A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
classbench-ng
A tool for generation of synthetic classification rule sets for benchmarking.
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
demo-routenet
Demo of RouteNet in ACM SIGCOMM'19
DeNS
DeNS: Deterministic Networks Simulator
go-ethereum
Official Go implementation of the Ethereum protocol
PCC-RL
Reinforcement learning resources for PCC.
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).
Reinforcement_Learning_Notes
A naive version.
RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Statistical-Learning-Methods-lihang
个人关于李航《统计学习方法》的一些肤浅解释和学习，以及numpy和sklearn编程实现