mmarei1

mmarei1's Stars

• mmarei1/YOLOv8-seg-iOS

  YOLOv8 instance segmentation on iOS using Core ML, Vision, TensorFlow Lite, PyTorch Mobile.

  Language:Swift1

• voxel51/reconstruction-error-ratios

  Estimate dataset difficulty and detect label mistakes using reconstruction error ratios!

  Language:Python17

• Tencent/DepthCrafter

  DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos

  Language:Python1.1k57

• prs-eth/Marigold

  [CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

  Language:Python2.5k144

• MaxZanella/CLIP-LoRA

  An easy way to apply LoRA to CLIP. Implementation of the paper "Low-Rank Few-Shot Adaptation of Vision-Language Models" (CLIP-LoRA) [CVPRW 2024].

  Language:Python14114

• autogluon/autogluon-rag

  Retrieval-Augmented Generation in 3 Lines of Code!

  Language:Python327

• fazliimam/NoLA

  NoLA Codebase

  Language:Python8

• VladimirYugay/MAGiC-SLAM

  MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM

  843

• mmarei1/DOMINO

  1

• yangchris11/samurai

  Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"

  Language:Python6.3k386

• Peterande/D-FINE

  D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement 💥💥💥

  Language:Python1.3k104

• ais-lab/pl2map

  [IROS 2024] Representing 3D sparse map points and lines for camera relocalization

  Language:Python19610

• aminebdj/OpenYOLO3D

  Our OpenYOLO3D model achieves state-of-the-art performance in Open Vocabulary 3D Instance Segmentation on ScanNet200 and Replica datasets with up ∼16x speedup compared to the best existing method in literature.

  Language:Python796

• roboflow/inference

  Turn any computer or edge device into a command center for your computer vision projects.

  Language:Python1.4k138

• DepthAnything/Depth-Anything-V2

  [NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

  Language:Python4.3k372

• hamhanry/YOLOv10-OBB

  255

• alicevision/AliceVision

  Photogrammetric Computer Vision Framework

  Language:C++3k829

• roboflow/maestro

  streamline the fine-tuning process for multimodal models: PaliGemma, Florence-2, and Qwen2-VL

  Language:Python1.4k104

• AILab-CVC/YOLO-World

  [CVPR 2024] Real-Time Open-Vocabulary Object Detection

  Language:Python4.9k473

• LiheYoung/Depth-Anything

  [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

  Language:Python7.2k550

• likedan/Awesome-CoreML-Models

  Largest list of models for Core ML (for iOS 11+)

  Language:Python6.5k481

• open-mmlab/mmrotate

  OpenMMLab Rotated Object Detection Toolbox and Benchmark

  Language:Python1.9k566

• huggingface/pytorch-image-models

  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:Python32.8k4.8k

• uncbiag/SimpleClick

  SimpleClick: Interactive Image Segmentation with Simple Vision Transformers (ICCV 2023)

  Language:Python21733

• baaivision/Painter

  Painter & SegGPT Series: Vision Foundation Models from BAAI

  Language:Python2.5k176

• ultralytics/ultralytics

  Ultralytics YOLO11 🚀

  Language:Python35.2k6.8k

• MaciDE/YOLOv8-seg-iOS

  YOLO11 / YOLOv8 instance segmentation on iOS using Core ML, Vision, TensorFlow Lite, PyTorch Mobile.

  Language:Swift367

• AndreyGermanov/yolov8_segmentation_python

  YOLOv8 image segmentation through ONNX in Python

  Language:Jupyter Notebook293

• JiayuanWang-JW/YOLOv8-multi-task

  Language:Python27446

• ChaoningZhang/MobileSAM

  This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

  Language:Jupyter Notebook4.9k511