zhangzhiyang7

zhangzhiyang7's Stars

• xcanwin/KeepChatGPT

  这是一款提高ChatGPT的数据安全能力和效率的插件。并且免费共享大量创新功能，如：自动刷新、保持活跃、数据安全、取消审计、克隆对话、言无不尽、净化页面、展示大屏、拦截跟踪、日新月异、明察秋毫等。让我们的AI体验无比安全、顺畅、丝滑、高效、简洁。

  Language:JavaScript14.6k728

• XiaofeiTJU/KaiS

  Language:Python4317

• hanisami/IScaler-DRL

  AI-based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach

  Language:Jupyter Notebook94

• asmekal/keras-monotonic-attention

  seq2seq attention in keras

  Language:Python407

• kubeedge/kubeedge

  Kubernetes Native Edge Computing Framework (project under CNCF)

  Language:Go6.8k1.7k

• WormOn/kubeedge-Source-code-analysis

  kubeedge源码分析系列文章。

  1910

• Jhy1993/HAN

  Heterogeneous Graph Neural Network

  Language:Python1.1k222

• jack57lee/Diversify-MHA

  EMNLP 2018: Multi-Head Attention with Disagreement Regularization; NAACL 2019: Information Aggregation for Multi-Head Attention with Routing-by-Agreement

  Language:Python193

• didi/hetsann

  Source Codes of HetSANN in the AAAI'20 paper: An Attention-based Graph Nerual Network for Heterogeneous Structural Learning.

  Language:Python14332

• apple2373/metapath2vec

  Language:Python18559

• IntelLabs/coach

  Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

  Language:Python2.3k461

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python33.7k5.7k

• flyyufelix/C51-DDQN-Keras

  C51-DDQN in Keras

  Language:Python12530

• google/dopamine

  Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

  Language:Jupyter Notebook10.6k1.4k

• Zeta36/Asynchronous-Methods-for-Deep-Reinforcement-Learning

  Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain in here: http://arxiv.org/pdf/1602.01783v1.pdf I used the one-step-Q-learning pseudocode, and now we can train the Pong game in less than 20 hours and without any GPU or network distribution.

  Language:Python8431

• Kiwoo/distributional_perspective_on_RL

  Implementation of A Distributional Perspective on Reinforcement Learning

  Language:Python3511

• Silvicek/distributional-dqn

  Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regression' based on OpenAi DQN baselines.

  Language:Python13126

• imatge-upc/detection-2016-nipsws

  Hierarchical Object Detection with Deep Reinforcement Learning

  Language:Python425129

• keras-rl/keras-rl

  Deep Reinforcement Learning for Keras.

  Language:Python5.5k1.4k

• germain-hug/Deep-RL-Keras

  Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

  Language:Python532149

• ustcLin/MPR-SNE

  Source code for "Multi-Path Relationship Preserved Social Network Embedding": https://ieeexplore.ieee.org/document/8649580

  Language:Python81

• ZhiqingXiao/rl-book

  Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

  Language:HTML895318

• LinZichuan/emdqn

  Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018

  Language:Python6212

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k3.1k

• snowkylin/tensorflow-handbook

  简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程

  Language:Jupyter Notebook3.9k840

• albertyang33/FOREST

  source code for IJCAI 2019 paper "Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks"

  Language:Python4316

• xptree/DeepInf

  DeepInf: Social Influence Prediction with Deep Learning

  Language:Python29287

• rgib37190/TopoLSTM

  Offer Pytorch(1.1.0) implementation of Topological LSTM

  Language:Python104

• vwz/topolstm

  Topological Recurrent Neural Network for Diffusion Prediction

  Language:Python1814

• CaoQi92/DeepHawkes

  DeepHawkes: Popularity Prediction of Information Cascades

  Language:Python8818