MaoPopovich

MaoPopovich's Stars

• Snailclimb/JavaGuide

  「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

  Language:Java147k4.5k1.1k45.7k

• 521xueweihan/HelloGitHub

  :octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

  Language:Python96.2k3.1k2.7k9.7k

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python66.5k2821.7k8.1k

• youngyangyang04/leetcode-master

  《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

  Language:Shell52.8k38324411.6k

• apachecn/ailearning

  AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

  Language:Python39.8k1.7k11411.5k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.6k288432.3k

• kaixindelele/ChatPaper

  Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

  Language:Python18.6k942181.9k

• jantic/DeOldify

  A Deep Learning based project for colorizing and restoring old images (and video!)

  Language:Python18.1k4363852.6k

• cotes2020/jekyll-theme-chirpy

  A minimal, responsive, and feature-rich Jekyll theme for technical writing.

  Language:HTML7.8k348356.1k

• spdustin/ChatGPT-AutoExpert

  🚀🧠💬 Supercharged Custom Instructions for ChatGPT (non-coding) and ChatGPT Advanced Data Analysis (coding).

  Language:JavaScript6.6k8733458

• amusi/AI-Job-Notes

  AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

  5.3k13110643

• dkozlov/awesome-knowledge-distillation

  Awesome Knowledge Distillation

  3.5k1138496

• innovation-cat/Awesome-Federated-Machine-Learning

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

  1.8k410272

• snap-stanford/GraphGym

  Platform for designing and evaluating Graph Neural Networks (GNN)

  Language:Python1.7k2449186

• AberHu/Knowledge-Distillation-Zoo

  Pytorch implementation of various Knowledge Distillation (KD) methods.

  Language:Python1.6k2317271

• yoshitomo-matsubara/torchdistill

  A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

  Language:Python1.4k2048131

• ZhiningLiu1998/awesome-imbalanced-learning

  😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

  1.4k446226

• LirongWu/awesome-graph-self-supervised-learning

  Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

  1.4k170168

• pygod-team/pygod

  A Python Library for Graph Outlier Detection (Anomaly Detection)

  Language:Python1.4k1664128

• TsingZ0/PFL-Non-IID

  Personalized federated learning simulation platform with non-IID and unbalanced dataset

  Language:Python8256140190

• vandit15/Class-balanced-loss-pytorch

  Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

  Language:Python7881119120

• sjtug/SJTUBeamer

  上海交通大学 Beamer 模版 | Beamer template for Shanghai Jiao Tong University

  Language:TeX60783964

• Koukyosyumei/AIJack

  Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

  Language:C++37444760

• THUMNLab/awesome-large-graph-model

  Papers about large graph models.

  26715219

• litian96/fair_flearn

  Fair Resource Allocation in Federated Learning (ICLR '20)

  Language:Python24471060

• AdeelH/pytorch-multi-class-focal-loss

  An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

  Language:Python2274425

• Alibaba-NLP/CLNER

  [ACL-IJCNLP 2021] Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning

  Language:Python9241715

• JinheonBaek/FED-PUB

  Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)

  Language:Jupyter Notebook45219

• LMP851/IDS

  A study on Deep Learning and Graph Neural Network for Intrusion Detection and Prevention (CNN, VAE, GNN,...)

  Language:Jupyter Notebook9101

• EasyFL-AI/EasyFL

  An easy-to-use federated learning platform

  Language:Python8001