DavdGao

FederatedScope

An easy-to-use federated learning platform

AgentScope

DavdGao.github.io

EasySetUp

This repository contains a shell for the basic setup within a ubuntu docker container, including install necessary packages, change source for apt, pip, conda, and enable remote debug for PyCharm

FederatedScope

An easy-to-use federated learning platform

FedScale

FedScale is a scalable and extensible open-source federated learning (FL) engine and benchmark.

flower

Flower: A Friendly Federated Learning Framework

helm

Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110).

MnnTrain

This is a test project for training on android device with MNN

agentscope

Start building LLM-empowered multi-agent applications in an easier way.

DavdGao/MnnTrain

This is a test project for training on android device with MNN

DavdGao/AgentScope

DavdGao/DavdGao.github.io

DavdGao/EasySetUp

This repository contains a shell for the basic setup within a ubuntu docker container, including install necessary packages, change source for apt, pip, conda, and enable remote debug for PyCharm

DavdGao/FederatedScope

An easy-to-use federated learning platform

DavdGao/FedScale

FedScale is a scalable and extensible open-source federated learning (FL) engine and benchmark.

DavdGao/flower

Flower: A Friendly Federated Learning Framework

DavdGao/helm

Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110).

DavdGao/JenkinsTest

This is a test repository for Jenkins.

DavdGao/stanford_alpaca

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

DavdGao/transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

DavdGao/llama.cpp

LLM inference in C/C++

DavdGao/MetaGPT

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

DavdGao/modelscope

ModelScope: bring the notion of Model-as-a-Service to life.

DavdGao/vllm

A high-throughput and memory-efficient inference and serving engine for LLMs