boykac

boykac's Stars

• facebookresearch/segment-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.

  Language:Jupyter Notebook48.1k3116765.7k

• ultralytics/ultralytics

  Ultralytics YOLO11 🚀

  Language:Python33.9k1869.8k6.5k

• meituan/YOLOv6

  YOLOv6: a single-stage object detection framework dedicated to industrial applications.

  Language:Jupyter Notebook5.7k628011k

• ChaoningZhang/MobileSAM

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

  Language:Jupyter Notebook4.9k42125504

• IDEA-Research/T-Rex

  [ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy

  Language:Python2.3k3886150

• yformer/EfficientSAM

  EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

  Language:Jupyter Notebook2.2k2568153

• KaiyangZhou/CoOp

  Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

  Language:Python1.8k1681203

• tianrun-chen/SAM-Adapter-PyTorch

  Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

  Language:Python1.1k898100

• OptimalScale/DetGPT

  Language:Jupyter Notebook76093371

• ngruver/llmtime

  Language:Jupyter Notebook7151926159

• IDEA-Research/OpenSeeD

  [ICCV 2023] Official implementation of the paper "A Simple Framework for Open-Vocabulary Segmentation and Detection"

  Language:Python662223943

• baaivision/tokenize-anything

  [ECCV 2024] Tokenize Anything via Prompting

  Language:Jupyter Notebook54271621

• sangminwoo/awesome-vision-and-language

  A curated list of awesome vision and language resources (still under construction... stay tuned!)

  51012340

• DAMO-DI-ML/NeurIPS2023-One-Fits-All

  The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

  Language:Python48255169

• okxapi/python-okx

  Language:Python464762169

• junkunyuan/Awesome-Domain-Generalization

  Awesome things about domain generalization, including papers, code, etc.

  3875141

• cvlab-stonybrook/LearningToCountEverything

  Language:Python372134677

• orhir/PoseAnything

  A Graph-Based Approach for Category-Agnostic Pose Estimation [ECCV 2024]

  Language:Python33051320

• witnessai/Awesome-Open-Vocabulary-Object-Detection

  A curated list of papers, datasets and resources pertaining to open vocabulary object detection.

  2898117

• IDEA-Research/UniPose

  [ECCV 2024] Official implementation of the paper "UniPose : Detecting Any Keypoints"

  Language:Python268181711

• zhengli97/PromptKD

  [CVPR 2024] Official PyTorch Code for "PromptKD: Unsupervised Prompt Distillation for Vision-Language Models"

  Language:Python2474333

• wysoczanska/clip_dinoiser

  Official implementation of 'CLIP-DINOiser: Teaching CLIP a few DINO tricks' paper.

  Language:Jupyter Notebook218101311

• VEWOXIC/FITS

  FITS: Frequency Interpolation Time Series Analysis Baseline

  Language:Jupyter Notebook13822115

• okxapi/okx-sample-market-maker

  A sample market maker to demonstrate the usage of python-okx SDK

  Language:Python1302341

• Hzzone/PseCo

  (CVPR 2024) Point, Segment and Count: A Generalized Framework for Object Counting

  Language:Jupyter Notebook974227

• VinAIResearch/Counting-DETR

  Few-shot Object Counting and Detection (ECCV 2022)

  Language:Python625184

• liaoyuhua/tempo-pytorch

  Reproduction of the paper "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting"

  Language:Python49471

• shizenglin/training-free-object-counter

  Language:Python432133

• TideDancer/iclr21_isotropy_contxt

  Language:Python30313

• txsing/generalize-unseen-domains-PyTorch

  PyTorch Implementation: Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018. Origin Tensorflow Implementation: https://github.com/ricvolpi/generalize-unseen-domains

  Language:Python14134