Stargazer's starred repositories

fastmoe

A fast MoE impl for PyTorch

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SmartMoE

A MoE impl for PyTorch, [ATC'23] SmartMoE

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MetaGPT

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

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LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

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FastSAM

Fast Segment Anything

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whisper-vits-svc

Core Engine of Singing Voice Conversion & Singing Voice Clone

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so-vits-svc

SoftVC VITS Singing Voice Conversion

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Llama-Chinese

Llama中文社区,Llama3在线体验和微调模型已开放,实时汇总最新Llama3学习资料,已将所有代码更新适配Llama3,构建最好的中文Llama大模型,完全开源可商用

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generative-models

Generative Models by Stability AI

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quantum

Hybrid Quantum-Classical Machine Learning in TensorFlow

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LAVIS

LAVIS - A One-stop Library for Language-Vision Intelligence

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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nlpaug

Data augmentation for NLP

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ChatGLM2-6B

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

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DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

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autodistill

Images to inference with no labeling (use foundation models to train supervised models).

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recognize-anything

Open-source and strong foundation image recognition models.

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Baichuan-7B

A large-scale 7B pretraining language model developed by BaiChuan-Inc.

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ChatDB

The official repository of "ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory".

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apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

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pyquil

A Python library for quantum programming using Quil.

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qiskit-tutorials

A collection of Jupyter notebooks showing how to use the Qiskit SDK

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FlagAI

FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.

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open_clip

An open source implementation of CLIP.

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BMInf

Efficient Inference for Big Models

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EVA

EVA Series: Visual Representation Fantasies from BAAI

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CORA

A DETR-style framework for open-vocabulary detection (OVD). CVPR 2023

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qlora

QLoRA: Efficient Finetuning of Quantized LLMs

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TOAST

Official code for "TOAST: Transfer Learning via Attention Steering"

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Ladder-Side-Tuning

PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning"

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