lepangdan

public-image-mirror

很多镜像都在国外。比如 gcr 。国内下载很慢，需要加速。致力于提供连接全世界的稳定可靠安全的容器镜像服务。

AppAgent

AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.

MeZO

[NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333

TinyChatEngine

TinyChatEngine: On-Device LLM Inference Library

LLMSys-PaperList

Large Language Model (LLM) Systems Paper List

Awesome-Resource-Efficient-LLM-Papers

a curated list of high-quality papers on resource-efficient LLMs 🌱

FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

awesome-federated-LLM-learning

This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuously updated to track the frontier of FedLLM.

FederatedScope

An easy-to-use federated learning platform

Awesome-LLM-Application

A curated list about how to build a LLM application including Input augment, model augment, RAG-system, serving, evaluation and software UI

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

alpaca-lora

Instruct-tune LLaMA on consumer hardware

DistributionalShapley

Distributional Shapley: A Distributional Framework for Data Valuation

fastshap

An amortized approach for calculating local Shapley value explanations

awesome-data-valuation

💱 A curated list of data valuation (DV) to design your next data marketplace

snip-public

SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY

adversarial-detection

Code and experiments for the adversarial detection paper

PySyft

Perform data science on data that remains in someone else's server

PyVertical

Privacy Preserving Vertical Federated Learning

Federated-Learning-PyTorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

tensorflow-federated

An open-source framework for machine learning and other computations on decentralized data.

FedMF

Federated-Learning

Federated Learning is a distributed machine learning approach which enables model training on a large corpus of decentralised data. The repository tutorial for using PySyft for distributed training of Machine Learning model.

rater

rater, recommender systems. 推荐模型，包括：DeepFM，Wide&Deep，DIN，DeepWalk，Node2Vec等模型实现，开箱即用。

DRL

Deep Reinforcement Learning

robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

FreeAdversarialTraining

PyTorch Implementation of Adversarial Training for Free!

AI-Job-Recommend

国内公司人工智能方向（含机器学习、深度学习、计算机视觉和自然语言处理）岗位的招聘信息（含全职、实习和校招）

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Machine-Learning-Algorithms-From-Scratch

A collection of commonly used machine learning algorithms implemented in Python/Numpy