Pinned Repositories
clash-rules
🦄️ 🎃 👻 Clash Premium 规则集(RULE-SET)，兼容 ClashX Pro、Clash for Windows 客户端。
Communication_eBooks
上传一些关于通信的好书，以便不时之需。
Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Deep-RL-Keras
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
DeepSC
Pytorch implementation of the DeepSC
dqn-multi-agent-rl
Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)
DRL_for_DDBC
Simulation codes for the manuscript "Deep Reinforcement Learning for Distributed Dynamic MISO Downlink-Beamforming Coordination" submitted to IEEE Transactions on Communications
Model-Driven-Beamforming-Neural-Networks
WMMSE
JungangGe's Repositories
JungangGe/Model-Driven-Beamforming-Neural-Networks
JungangGe/clash-rules
🦄️ 🎃 👻 Clash Premium 规则集(RULE-SET)，兼容 ClashX Pro、Clash for Windows 客户端。
JungangGe/Communication_eBooks
上传一些关于通信的好书，以便不时之需。
JungangGe/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
JungangGe/federated-learning
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
JungangGe/gcnwmmse
JungangGe/generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
JungangGe/GNN4Com
JungangGe/HEU_KMS_Activator
JungangGe/icon
适配Quantumult X的任务、策略组、机场图标
JungangGe/ios_rule_script
分流规则、重写写规则及脚本。
JungangGe/live
✯ 一个可直连访问的电视/广播图标库与相关工具项目 ✯ 🔕 永久免费 直连访问 完整开源 不断完善的台标 支持IPv4/IPv6双栈访问 🔕
JungangGe/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
JungangGe/MagiskOnWSA
Integrate Magisk root and Google Apps (OpenGApps) into WSA (Windows Subsystem for Android)
JungangGe/MatlabProgressBar
This MATLAB class provides a smart progress bar like tqdm in the command window and is optimized for progress information in simple iterations or large frameworks with full support of parallel parfor loops provided by the MATLAB Parallel Computing Toolbox.
JungangGe/Meandering.Path
自用分流规则（预处理方法）：适用于Clash for Windows和Clash Verge (verge-rev、nyanpasu)，另含一些stash的复写模块。
JungangGe/meta-rules-dat
🐱 rules-dat for mihomo
JungangGe/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).
JungangGe/pytorch_geometric
Graph Neural Network Library for PyTorch
JungangGe/QuantumultX_rules
JungangGe/Qure
Quantumult X Policy Icon Set
JungangGe/Real-Qingshui-Pass
A cannot-be-more-real gate pass for UESTC Qingshui River campus.
JungangGe/RMT4ML
Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
JungangGe/Rules
收集整理觉得还行的一些规则
JungangGe/Rules-For-Quantumult-X
适用于 Quantumult X 规则整理集合. 所有内容源自 互联网,仅作为收集和整理
JungangGe/Rules_FAN
自用 Quantumult X & Stash & Loon 配置
JungangGe/Script
This project is based on the scripting capabilities of several excellent iOS proxy tools (e.g. Surge, Quantumult X)
JungangGe/Spatial_Deep_Learning_for_Wireless_Scheduling
JungangGe/thesisuestc
ThesisUESTC-电子科技大学毕业论文模板
JungangGe/UESTC-Thesis-Latex-Template
UESTC Thesis Latex Template 2023. It fully supports the latest format specification in 2023, supports independent symbol table, abbreviation table, and complete and fully customizable Academic/Professional-Master/PhD covers.