Stars
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
FAST-LIO2 on ROS2 with various functionalities for LIO mapping
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
A unified C++ toolkit for YOLO v5/v8/v11/v26/..., covering classification/detection/segmentation/pose/obb tasks with easy python-like APIs from ultralytics/ultralytics.
Based on tensorrt v8.0+, deploy detect, pose, segment, tracking of YOLOv8 with C++ and python api.
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT
Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds
Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"
[CVPR 2024] Official implementation of "VRP-SAM: SAM with Visual Reference Prompt"
[AAAI2026] X-SAM: From Segment Anything to Any Segmentation
Official PyTorch Implementation of FS-SAM2
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
Unofficial implementation of YOLO-World + EfficientSAM for ComfyUI
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Segment Anything in High Quality [NeurIPS 2023]
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.
Source code for the CVPR'20 paper "Blindly Assess Image Quality in the Wild Guided by A Self-Adaptive Hyper Network"
🔎 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...