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Source code of FedPrompt
The official PyTorch implementation of CHEX: CHannel EXploration for CNN Model Compression (CVPR 2022). Paper is available at https://openaccess.thecvf.com/content/CVPR2022/papers/Hou_CHEX_CHannel_EXploration_for_CNN_Model_Compression_CVPR_2022_paper.pdf
Benchmark of federated learning, dedicated to the community.
Federated Learning with Partial Model Personalization
Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch
📊 A simple command-line utility for querying and monitoring GPU status
GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning, as well as corresponding mitigation strategies.
Learning to Initialize Neural Networks for Stable and Efficient Training
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
Multidimensional Dictionary Learning
Leaf: A Benchmark for Federated Settings
[ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chang, Zhangyang Wang
Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
General technology for enabling AI capabilities w/ LLMs and MLLMs
Code for visualizing the loss landscape of neural nets
LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Computing)
An ADMM + Compressed Sensing algorithm to estimate a low-rank sparse matrix
[NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
计算机体系结构Project1,用Python实现一个MipsSimulator(如果你上ZMS的课还是退课吧)
计算机体系结构第二次大作业。虚假的实现scoreboarding算法
Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.