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AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).
Machine Learning is not safe! Let's hijack Artificial Intelligence!
Robust recipes to align language models with human and AI preferences
A curated list of neural network pruning resources.
The official implement of paper "Does Federated Learning Really Need Backpropagation?"
Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
A block pruning framework for LLMs.
Inspired by google c4, here is a series of colossal clean data cleaning scripts focused on CommonCrawl data processing. Including Chinese data processing and cleaning methods in MassiveText.
Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)
[ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
[NeurIPS 2019] Deep Leakage From Gradients
Expert Specialized Fine-Tuning
[ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
FedMultimodal
AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"
Federated Dynamic Sparse Training
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.