Stars
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
An end-to-end PyTorch framework for image and video classification
Perform data science on data that remains in someone else's server
This is the public repository of EMNLP 2023 paper "DisCo: Co-training Distilled Student Models for Semi-supervised Text Mining"
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
A Python library for the fast symbolic approximation of time series
An Early Time-Series Classification Suite For Benchmarking made for the use of CER group, Institute of Informatics, NCSR "Demokritos"
This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.
This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
A Python scikit for building and analyzing recommender systems
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
采用当前最流行的技术栈 Vben Vue Vue3 Python Django Ninja（Fast Api 和 Django的结合）开发的后端管理系统
yks2024 / kimi-api
Forked from LLM-Red-Team/kimi-free-api🚀 KIMI AI 长文本大模型白嫖服务，支持高速流式输出、联网搜索、长文档解读、图像解析、多轮对话，零配置部署，多路token支持，自动清理会话痕迹。
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Master Federated Learning in 2 Hours—Run It on Your PC!
Personalized federated learning codebase for research
Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
We design a multi-task model for joint disaster classification and victim detection. We train the model using both the Centralized Learning (CL) and Federated Learning (FL) methods. We also tried A…
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
This is the code for paper “accelerating communication-efficient federated multi-task learning with personalization and Fairness”. Besides, we compared them with other accelerated methods: FedMom F…
Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.
Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
An open-source framework for conducting data poisoning attacks on recommendation systems, designed to assist researchers and practitioners.