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Haotian Liu's starred repositories

sglang

SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with models faster and more controllable.

Language:PythonApache-2.0262300

MMMU

This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"

Language:PythonApache-2.027800

LLaVA-Plus-Codebase

LLaVA-Plus: Large Language and Vision Assistants that Plug and Learn to Use Skills

Language:PythonApache-2.064500

llama2.c

Inference Llama 2 in one file of pure C

Language:CMIT1656600

stable-diffusion-webui

Stable Diffusion web UI

Language:PythonAGPL-3.013347100

text-generation-webui

A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

Language:PythonAGPL-3.03765000

FastChat

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

Language:PythonApache-2.03520400

LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Language:PythonApache-2.01738200

evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

Language:PythonNOASSERTION1422900

react

REACT (CVPR 2023, Highlight 2.5%)

Language:PythonMIT12100

X-Decoder

[CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language

Language:PythonApache-2.0126500

GLIGEN

Open-Set Grounded Text-to-Image Generation

Language:PythonMIT186200

MaskPoint

[ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds

Language:PythonBSD-3-Clause8800

CVinW_Readings

A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''

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Elevater_Toolkit_IC

Toolkit for Elevater Benchmark

Language:PythonMIT6400

ConvNeXt

Code release for ConvNeXt model

Language:PythonMIT560000

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Language:PythonApache-2.03035100

gdrive

Google Drive CLI Client

Language:GoMIT898700

arxiv-sanity-lite

arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.

Language:PythonMIT110800