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University of Michigan
- Ann Arbor
- https://agentds.github.io/
Highlights
- Pro
Stars
200 LeetCode practice problems for beginners in algorithms and data structures
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
jhoon-oh / FedBABU
Forked from pliang279/LG-FedAvgICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"
Code for AISTATS'25 paper - On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
Lightweight Python library for in-memory matrix completion.
Build Hierarchical Autonomous Agents through Config. Collaborative Growth of Specialized Agents.
GeoMX: A fast and unified system for distributed machine learning over geo-distributed data centers.
Wechat Chat History Exporter 微信聊天记录导出备份程序
Implementation of the paper: Learning Deep Neural Networks under Agnostic Corrupted Supervision
[AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning
Memory-Economic Continual Test-Time Model Adaptation
[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
一个支持windows/linux/mac的文本编辑器,目标是做中国人自己的编辑器,来自中国。
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
一些非常有趣的python爬虫例子,对新手比较友好,主要爬取淘宝、天猫、微信、微信读书、豆瓣、QQ等网站。(Some interesting examples of python crawlers that are friendly to beginners. )
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! W…
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers
Tutorials and paper lists for federated learning
程序员延寿指南 | A programmer's guide to live longer
💖 A curated list of awesome things
Benchmark datasets, data loaders, and evaluators for graph machine learning
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.