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Container Storage Interface (CSI) Specification.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Delta is an all-in-one classic video game emulator for non-jailbroken iOS devices.
Fast and memory-efficient exact attention
Open-Sora: Democratizing Efficient Video Production for All
A CLI tool can create a specific task-dataset you want based on COCO dataset. Given the annotation JSON file, this tool will help you download the data and set the symbolic links from data_dir to t…
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
A shim driver allows in-docker nvidia-smi showing correct process list without modify anything
Continuous saving of tmux environment. Automatic restore when tmux is started. Automatic tmux start when computer is turned on.
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
3D U-Net model for volumetric semantic segmentation written in pytorch
Yolo X, v7, v8 and several Multi-Object Tracker(SORT, DeepSORT, ByteTrack, BoT-SORT, etc.) in MOT17 and VisDrone2019 Dataset. It uses a unified style and integrated tracker for easy embedding in yo…
Build and run containers leveraging NVIDIA GPUs
This is an official implementation for "Video Swin Transformers".
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper
Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A central hub for gathering and showcasing amazing projects that extend OpenMMLab with SAM and other exciting features.