Stars
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Master Federated Learning in 2 Hours—Run It on Your PC!
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
[ICML 2024 Oral] A framework for society simulation that supports complex simulation, for example: multi-scene.
A curated list of resources for using LLMs to develop more competitive grant applications.
Generative Agents: Interactive Simulacra of Human Behavior
Recommendation System sever for Projectube developed by insource team of VietCode company leveraging User-Based Collaborative Filtering
200 LeetCode practice problems for beginners in algorithms and data structures
[AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
Handy PyTorch implementation of Federated Learning (for your painless research)
Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)
Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
🪄 One-click deployment of many github open source projects to facilitate fast experience 一键部署各种Github开源AI项目
[ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.00226)
QLoRA: Efficient Finetuning of Quantized LLMs
PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).
PyTorch implementation of FedPer (Federated Learning with Personalization Layers).
This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation"
[NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
RDPWrap.ini for RDP Wrapper Library by Stas'M
[NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations
程序员延寿指南 | A programmer's guide to live longer
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
In this repository we try to implement Federated learning algorithms