boykac

boykac's Stars

• Hzzone/PseCo

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

  Language:Jupyter Notebook1076

• okxapi/okx-sample-market-maker

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

  Language:Python15851

• okxapi/python-okx

  Language:Python555189

• OptimalScale/DetGPT

  Language:Jupyter Notebook77071

• cvlab-stonybrook/LearningToCountEverything

  Language:Python39377

• VinAIResearch/Counting-DETR

  Few-shot Object Counting and Detection (ECCV 2022)

  Language:Python684

• wysoczanska/clip_dinoiser

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

  Language:Jupyter Notebook23611

• orhir/PoseAnything

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

  Language:Python34619

• IDEA-Research/X-Pose

  [ECCV 2024] Official implementation of the paper "X-Pose: Detecting Any Keypoints"

  Language:Python62630

• meituan/YOLOv6

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

  Language:Jupyter Notebook5.8k1k

• IDEA-Research/OpenSeeD

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

  Language:Python68943

• ultralytics/ultralytics

  Ultralytics YOLO11 🚀

  Language:Python37.3k7.2k

• ChaoningZhang/MobileSAM

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

  Language:Jupyter Notebook5k522

• IDEA-Research/T-Rex

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

  Language:Python2.4k160

• ngruver/llmtime

  Language:Jupyter Notebook740165

• liaoyuhua/tempo-pytorch

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

  Language:Python481

• 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 Notebook49.1k5.8k

• tianrun-chen/SAM-Adapter-PyTorch

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

  Language:Python1.1k101

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

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

  30019

• TideDancer/iclr21_isotropy_contxt

  Language:Python313

• baaivision/tokenize-anything

  [ECCV 2024] Tokenize Anything via Prompting

  Language:Jupyter Notebook56325

• VEWOXIC/FITS

  FITS: Frequency Interpolation Time Series Analysis Baseline

  Language:Jupyter Notebook15820

• 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:Python51673

• theFoxofSky/ddfnet

  The official implementation of the CVPR2021 paper: Decoupled Dynamic Filter Networks

  Language:Python21633

• ServiceNow/N-BEATS

  N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.

  Language:Python535119

• Nixtla/neuralforecast

  Scalable and user friendly neural :brain: forecasting algorithms.

  Language:Python3.3k382

• mims-harvard/Raincoat

  Domain Adaptation for Time Series Under Feature and Label Shifts

  Language:Jupyter Notebook11511

• BorealisAI/scaleformer

  Language:Python12913

• Thinklab-SJTU/Crossformer

  Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

  Language:Python52290

• microsoft/GenerativeImage2Text

  GIT: A Generative Image-to-text Transformer for Vision and Language

  Language:Python55769