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Mathematical Visual Instruction Tuning for Multi-modal Large Language Models
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Fast and memory-efficient exact attention
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
The official repo for ECCV'22 paper: Pose for Everything: Towards Category-Agnostic Pose Estimation
A Graph-Based Approach for Category-Agnostic Pose Estimation [ECCV 2024]
RepViT: Revisiting Mobile CNN From ViT Perspective [CVPR 2024] and RepViT-SAM: Towards Real-Time Segmenting Anything
YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-Time Object Detection
A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
[ICCV 2023] Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
Official release of InternLM2.5 base and chat models. 1M context support
Dense Distinct Query for End-to-End Object Detection (CVPR2023)
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
ImageBind One Embedding Space to Bind Them All
how to optimize some algorithm in cuda.
An open-source tool-augmented conversational language model from Fudan University
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
A central hub for gathering and showcasing amazing projects that extend OpenMMLab with SAM and other exciting features.
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.