lepangdan's starred repositories
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。
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 🌱
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
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
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.
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.
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)