STU-Net

Making large AI models cheaper, faster and more accessible

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

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

An open source implementation of CLIP.

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

CodeGeeX2: A More Powerful Multilingual Code Generation Model

Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).