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a_clustering_approach_to_wireless_scheduling

Repository exploring wireless D2D links scheduling using various clustering techniques.

alphatensor

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

approachingalmost

Approaching (Almost) Any Machine Learning Problem

awesome

Github Trending榜高赞与趣味项目速览。主理人：同济子豪兄

awesome-aitools

Collection of AI-related utilities. Welcome to submit issues and pull requests /收藏AI相关的实用工具，欢迎提交issues 或者pull requests

awesome-chatgpt

你的《人工智能指南》- 奶酪清单！

awesome-federated-learning

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

awesome-federated-machine-learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

awesome-fl-1

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

blockchainsimpledemo

基于Python3区块链简单Demo，帮助了解区块链。

cardiomegaly-chest-x-ray

hybrid classical-quantum transfer learning for cardiomegaly detection on chest x-rays

chinese-independent-developer

👩🏿‍💻👨🏾‍💻👩🏼‍💻👨🏽‍💻👩🏻‍💻**独立开发者项目列表 -- 分享大家都在做什么

client-selection-of-federated-learning

A contribution-based client selection method

clis-fl

CLiS-FL is a simulator framework of client selection in FL that handles resource consumption

comboptnet

Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}

csi-prediction

cv

✔️最全面的 深度学习CV 笔记【吴恩达 深度学习】【李沐 动手学深度学习】【我是土堆 Pytorch】

d2d_a2c

Channel Selection and Power Control for D2D Communication via Online Reinforcement Learning

dacen

daily_arxiv

Using GitHub Action to collect paper list with publicly available source code in the daily arxiv

deep-q-networks

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

deeppilotdesign

deepquantumneuralnetworks

diffusion_channel_est

Source code of the Paper "Diffusion-Based Generative Prior for Low-Complexity MIMO Channel Estimation"

double-deep-q-learning-for-resource-allocation

Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"

dqn

Basic DQN implementation

dqn_pytorch

Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/