Topics / #swin-transformer

Swin-transformer projects on GitHub

A hierarchical vision transformer architecture for image tasks.

As of , the most-starred Swin-transformer projects on GitHub are mmdetection (33K stars), deep-learning-for-image-processing (26.4K stars) and Swin-Transformer (16.1K stars). GitHub.Locker tracks 5 Swin-transformer repositories with 87.1K stars combined. The fastest-growing on October 16 was mmdetection, with +3 stars in a day.

5Projects
87.1KStars in total
+11Stars in a day
Browse in the catalog →github.com/topics/swin-transformer ↗

Hot right now

Most stars gained in a day · Oct 16

+3

mmdetection

open-mmlab/mmdetection · ★ 33K

MMDetection is an open source object detection toolbox built on PyTorch, part of the OpenMMLab project, that supports object detection, instance segmentation, panoptic segmentation, and semi-supervised detection.

+3

GroundingDINO

IDEA-Research/GroundingDINO · ★ 10.7K

An open-set object detection model from IDEA-Research (ECCV 2024): give it an image plus a text prompt and it finds the objects your words describe. This repo is the official PyTorch implementation with pretrained models.

+3

OpenDLSS-NR

maanHimself/OpenDLSS-NR · ★ 921

OpenDLSS-NR is a from-scratch Vulkan reimplementation of NVIDIA's DLSS 5 Neural Rendering network, matching the original bit-exactly down to every internal block boundary, not just the final image.

+2

deep-learning-for-image-processing

WZMIAOMIAO/deep-learning-for-image-processing · ★ 26.4K

A video-based deep learning course that walks through classic computer-vision architectures for image classification, object detection, segmentation and keypoint detection, pairing each network with a lecture and runnable code.

The all-time top

5 projects · by stars

  1. #1 · open-mmlab/mmdetection

    mmdetection

    MMDetection is an open source object detection toolbox built on PyTorch, part of the OpenMMLab project, that supports object detection, instance segmentation, panoptic segmentation, and semi-supervised detection.

    33K
  2. #2 · WZMIAOMIAO/deep-learning-for-image-processing

    deep-learning-for-image-processing

    A video-based deep learning course that walks through classic computer-vision architectures for image classification, object detection, segmentation and keypoint detection, pairing each network with a lecture and runnable code.

    26.4K
  3. #3 · microsoft/Swin-Transformer

    Swin-Transformer

    The official Microsoft implementation of the Swin Transformer paper and its follow-ups: a hierarchical vision Transformer that computes attention with shifted windows and serves as a general-purpose backbone for computer vision tasks.

    16.1K
  1. 4

    GroundingDINO

    10.7KIDEA-Research/GroundingDINO · Python

    An open-set object detection model from IDEA-Research (ECCV 2024): give it an image plus a text prompt and it finds the objects your words describe. This repo is the official PyTorch implementation with pretrained models.

  2. 5

    OpenDLSS-NR

    921maanHimself/OpenDLSS-NR · JavaScript

    OpenDLSS-NR is a from-scratch Vulkan reimplementation of NVIDIA's DLSS 5 Neural Rendering network, matching the original bit-exactly down to every internal block boundary, not just the final image.

Often tagged together