tommiekerssies

tommiekerssies'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

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python10.5k80499997

• facebookresearch/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method.

  Language:Jupyter Notebook9.4k95411839

• baaivision/EVA

  EVA Series: Visual Representation Fantasies from BAAI

  Language:Python2.3k30163167

• IDEA-Research/MaskDINO

  [CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

  Language:Python1.2k35112109

• LAION-AI/CLIP_benchmark

  CLIP-like model evaluation

  Language:Jupyter Notebook630126580

• segments-ai/panoptic-segment-anything

  Combining Segment Anything (SAM) with Grounded DINO for zero-shot object detection and CLIPSeg for zero-shot segmentation

  Language:Jupyter Notebook3898525

• VisualComputingInstitute/diffusion-e2e-ft

  [WACV 2025] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

  Language:Python3521799

• MediaBrain-SJTU/RegAD

  [ECCV2022 Oral] Registration based Few-Shot Anomaly Detection

  Language:Python28175340

• qinenergy/cotta

  [CVPR 2022] Official CoTTA Code for our paper Continual Test-Time Domain Adaptation

  Language:Python25453025

• bytedance/coconut_cvpr2024

  Language:Jupyter Notebook1544296

• Jakob-98/openai-functools

  openai-functools: Simplified Generation of OpenAI Functions JSON Metadata for OpenAI Function Calling

  Language:Python695299

• hu-po/ashenvenus

  Entry to the 2023 Scroll Prize

  Language:Python44206

• tue-mps/benchmark-vfm-ss

  Language:Python25420

• tue-mps/vfm-uda

  Language:Python9210

• tommiekerssies/AutoPatch

  Language:Python5202

• cviviers/CovariateFlow

  Implementation of CovariateFlow, a method for detection OOD covariate shift using conditional normalizing flows and modelling the hetroscedastic high-frequency image components

  Language:Python20

• Jakob-98/better-structured-gpt

  Using GPT output to pydantic models for better structured GPT output

  Language:Python2200