🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

OpenMMLab Detection Toolbox and Benchmark

deep learning for image processing including classification and object-detection etc.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Count the MACs / FLOPs of your PyTorch model.

Flops counter for convolutional networks in pytorch framework

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

Model analyzer in PyTorch

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

[CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale

mmdetection源码注释

This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.