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Discover 326 open source projects
Showing 241-260 of 326 projects
torrvision/crfasrnn
This repository contains the source code for a semantic image segmentation method using Conditional Random Fields as Recurrent Neural Networks.
lightly-ai/lightly-train
All-in-one training for vision models with pretraining, fine-tuning, and distillation capabilities.
samvermette/SVSegmentedControl
A UISwitch-like segmented control component for iOS apps written in Objective-C.
meta-pytorch/segment-anything-fast
A fast offline inference version of the Segment Anything Model (SAM) for PyTorch developers.
WisconsinAIVision/yolact_edge
A fast, real-time instance segmentation library for edge devices, built with PyTorch.
timojl/clipseg
Image segmentation using text and image prompts for AI developers
d-li14/involution
A novel neural operator called Involution that can be used for image classification, object detection, and other computer vision tasks.
natasha/natasha
Python library for solving basic Russian NLP tasks, with an API for lower level Natasha projects.
Pointcept/SegmentAnything3D
A tool for segmenting 3D objects in scenes using AI-powered computer vision techniques.
qupath/qupath
An open-source bioimage analysis tool for researchers working with digital pathology and histology images.
SeanLee97/xmnlp
Chinese NLP library with various tools and features for text processing, analysis, and manipulation.
PRBonn/depth_clustering
Fast and robust clustering of point clouds generated with a Velodyne sensor, useful for robotics and autonomous driving applications.
Uminosachi/sd-webui-inpaint-anything
An extension for Stable Diffusion web UI that performs inpainting using Segment Anything model.
RoyalVane/CLAN
Research paper on domain adaptation and semantic-consistent transfer learning for computer vision.
wainshine/Company-Names-Corpus
A corpus of company names, abbreviations, and brands that can be used for Chinese text segmentation and entity recognition.
fahadshamshad/awesome-transformers-in-medical-imaging
A curated collection of resources on applying Transformers to medical imaging tasks like segmentation, classification, and synthesis.
ImprintLab/Medical-SAM-Adapter
A lightweight adapter that bridges the Segment Anything Model (SAM) with medical imaging applications.
MasterBin-IIAU/UNINEXT
Universal instance perception model for object detection, segmentation, and tracking in videos.
soeaver/caffe-model
A collection of Caffe models and deployment files for popular machine learning networks like classification, detection, and segmentation.
maxep/MXSegmentedPager
A segmented pager view with a parallax header, suitable for developers building with AI tools.
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