Reverse Dependencies of torchvision
The following projects have a declared dependency on torchvision:
- whorl — no summary
- wild-time-data — WILDS distribution shift data
- wildbook-ia — Wildbook IA (WBIA) - Machine learning service for the WildBook project
- wilds — WILDS distribution shift benchmark
- wildtime — WILDS distribution shift benchmark
- wildtorch — WildTorch: Leveraging GPU Acceleration for High-Fidelity, Stochastic Wildfire Simulations with PyTorch
- wk-classify — A package of tools for building deep-learning classification programs.
- woollylib — This is a pytorch based utilities library which will help you for training and visualizing computer vision models.
- wow-ai-sam — Finetune segment-anything
- wpodnet-pytorch — The implementation of ECCV 2018 paper "License Plate Detection and Recognition in Unconstrained Scenarios" in PyTorch
- ws-benchmark — a weak supervision learning benchmark
- wsinfer — Run patch-based classification on pathology whole slide images.
- wsinfer-mil — Run specimen-level inference on whole slide images.
- wxbs-benchmark — Code for benchmarking image matchers on WxBS dataset
- wzyFunc — My Python Package
- x-clip — X-CLIP
- x-deep — XDeep is an open-source package for Interpretable Machine Learning.
- xai-explainer — A package for explaining deep learning models
- xaitk-saliency — Visual saliency map generation interfaces and baseline implementations for explainable AI.
- xaitk-saliency-demo — Web application demonstrating XAITK Saliency functionality
- xchem-chimp — XChem CHIMP
- XCurve — machine learning package
- XCurveLearn — machine learning package
- xn-ultralytics — This is a public fork of Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. Free for anyone to use, for non-commercial purposes.
- xplai — xpl.ai client SDK.
- xregi — A package for automatic 2D/3D registration of X-ray and CT images
- xron — A deep neural network basecaller for nanopore sequencing.
- xt-cvdata — Utilities for building and working with computer vision datasets
- xt-models — Models and model utilities for common ML tasks
- xtuner — An efficient, flexible and full-featured toolkit for fine-tuning large models
- y5facegg — Packaged version of the Yolov5 facial landmark detector
- y5gg — Packaged version of the Yolov5 object detector
- yaaf — YAAF: Yet Another Agents Framework
- yann — yet another neural network library
- yolite — Yolov5-Lite: Minimal YoloV5 Implementation
- Yolo-Distribution-Distillation-Demo — Run inference on Yolo Distribution Distillation model.
- Yolo-ED2-Demo — Run inference on Yolo Distribution Distillation model.
- yolo-labeler — Remove image background and label object in yolo format
- yolo-v5-tflite — YOLO_v5 - most advanced vision AI model for object detection in TFLite.
- yolo-world-open — YOLO-World: Real-time Open Vocabulary Object Detection
- yolo5face — Wrapper over Yolo5Face for a more convenient inference.
- yolotest — Ultralytics YOLOv8
- yolotext — no summary
- yolov5 — Packaged version of the Yolov5 object detector
- yolov5-evaluator — Wrapper package for yolov5
- yolov5-icevision — YOLOv5
- yolov5-thin — Packaged version of the Yolov5 object detector
- yolov5-utils — Packaged version of the Yolov5 object detector
- yolov5facedetector — Packaged version YOLOv5 Face Detector
- yolov5processor — Wrapper package for yolov5 inference:v3.0
- yolov7-package — Bindings for yolov7 in one class
- yolov7-wky-package — no summary
- YOLOv7Detector — A simple Wrapper for YOLOv7
- yolov7x — no summary
- yolov8-pose-triton — Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
- yolov8-rknn — Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
- yolov9py — YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information.
- yolox — no summary
- youchoose — YouChoose is an open source recommendation library built on PyTorch.
- youtube-discussion-tree-api — This is a python API that allows you to obtain the discussion that occurs in the comments of a YouTube video as a tree structure.
- yqn-pytorch-framework — YQN Pytorch Framework
- ytd — object detection using yolo, tf2 and detectron2
- zakuro-ai — Zakuro, the community cloud based technology powered by AI.
- zcls — Object Classification Training/Inferring Framework
- zcls2 — More Faster Object Classification Training Framework
- zennit — Attribution of Neural Networks using PyTorch
- zensols.deeplearn — General deep learing utility library
- zensols.dltools — General deep learing utility library
- zeroml — zeroml.
- zeroscratches — Old Photo Restoration
- zetascale — Rapidly Build, Optimize, and Deploy SOTA AI Models
- zhijian — ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse
- zhutils — no summary
- Zincbase — A state of the art knowledge base
- zipvehicle — no summary
- zisan — Integrated CV basic application development kit based on Pytorch
- zoobot — Galaxy morphology classifiers
- zzdeeprollover — Detect rollovers in zebrafish larvae