Reverse Dependencies of torchvision

The following projects have a declared dependency on torchvision:

• torch-staintools — GPU-accelerated stain normalization and augmentation
• torch-template — Torch_Template - A PyTorch template with commonly used models and tools
• torch-tensorrt — Torch-TensorRT is a package which allows users to automatically compile PyTorch and TorchScript modules to TensorRT while remaining in PyTorch
• torch-tools — A library of helpers to train, evaluate and visualize deep nets with PyTorch.
• torch-trandsforms — A pytorch-first transform library for ND data, such as multi-channel 3D volumes
• torch-uncertainty — Uncertainty quantification library in PyTorch
• torch-yolo3 — YOLO v3 in PyTorch
• torchal — A codebase for active learning built on top of pycls.
• torchanalyse — no summary
• torchapp — A wrapper for fastai projects to create easy command-line inferfaces and manage hyper-parameter tuning.
• torchattacks — Torchattacks is a PyTorch library that provides adversarial attacks to generate adversarial examples.
• torchaug — Torchvision Complementary tool to perform batch and GPU data augmentations.
• torchbearer-variational — A variational auto-encoder library for PyTorch using torchbearer
• torchbearer-visual — A visualisation library for PyTorch using torchbearer
• torchbench — Easily benchmark Machine Learning models on selected tasks and datasets - with PyTorch
• torchcam — Class activation maps for your PyTorch CNN models
• torchcfm — Conditional Flow Matching for Fast Continuous Normalizing Flow Training.
• torchde — 'torchde' offers a lightweight PyTorch toolbox for Deep Density Estimation Models
• torchdecomp — A set of matrix decomposition algorithms implemented as PyTorch classes
• torchdistill — A Modular, Configuration-Driven Framework for Knowledge Distillation. Trained models, training logs and configurations are available for ensuring the reproducibility.
• torchdrive — PyTorch library for BEV style perception models
• torchdyn — A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods.
• torchEasyTools — easy to load pretrain model and compute model complexity
• torchedit — for modify torchvision model out_features
• torchei — A toolbox about DNN Reliability
• torchenhanced — Wrappers for pytorch stuff I use on the daily
• torchensemble — A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model
• torchero — A pluggable & extensible trainer for pytorch
• torcheval — A library for providing a simple interface to create new metrics and an easy-to-use toolkit for metric computations and checkpointing.
• torcheval-nightly — A library for providing a simple interface to create new metrics and an easy-to-use toolkit for metric computations and checkpointing.
• torchexplorer — Interactively inspect pytorch modules during training.
• torchexpo — Collection of models and extensions for deployment in PyTorch
• torchfed — A unified federated learning framework for PyTorch.
• torchfl — A Python library for rapid prototyping, experimenting, and logging of federated learning using state-of-the-art models and datasets. Built using PyTorch and PyTorch Lightning.
• torchflare — TorchFlare is a simple, beginner-friendly, and easy-to-use PyTorch Framework train your models effortlessly.
• torchfuel — Library build on top of pytorch to fuel productivity
• torchfun — A collection of functions/classes that supplements torch functionality.
• torchfurnace — A tool package for training model, pre-processing dataset and managing experiment record in pytorch AI tasks.
• torchfusion — A modern deep learning framework built to accelerate research and development of AI systems
• torchgan — Research Framework for easy and efficient training of GANs based on Pytorch
• torchgeo — TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
• torchhydro — datasets, samplers, transforms, and pre-trained models for hydrology and water resources
• torchjpeg — Utilities for JPEG data access and manipulation in pytorch
• TorchKAN — An easy-to-use PyTorch implementation of the Kolmogorov Arnold Network
• torchlaplace — Differentiable Laplace Reconstructions in PyTorch
• torchlite — A high level library on top of machine learning frameworks
• torchlm — A PyTorch landmarks-only library with 100+ data augmentations, training and inference, can easily install with pip and compatible with albumentations and torchvision.
• torchlmdb — Simple Implementation of a drop-in database for image datasets in PyTorch.
• torchluent — Build pytorch models in a fluent interface
• torchmasked — Tensor operations with mask for PyTorch.
• torchmeta — Dataloaders for meta-learning in Pytorch
• torchmetagen — Torchmetagen is a python package for metagenomic sequence data processing and inference.
• torchmetal — A library for Meta-Learning and Few-Shot Learning with PyTorch
• torchmetrics — PyTorch native Metrics
• torchmm — PyTorch DataLoader and Abstraction for multi-modal data.
• TorchMoon — Crater detection
• torchmore — Useful additional layers for PyTorch.
• torchneuromorphic — Dataset loaders for pytorch
• torchninja — Tools for training PyTorch models
• torchok — The toolkit for fast Deep Learning experiments in Computer Vision
• torchosr — The torchosr module is a set of tools necessary for processing open set recognition problems with pytorch.
• torchpack — no summary
• torchpf — torchpf: A Tool for Pytorch Model Analyzer.
• torchplasma — Differentiable image editing operations for computational photography in PyTorch.
• torchprism — Principal Image Sections Mapping for PyTorch
• torchprofile — no summary
• torchql — A package for programming integrity constraints for machine learning applications.
• torchquantum — Quantum Computing in PyTorch
• torchrecipes — Prototype of training recipes for PyTorch
• torchrender3d — Render NNs in 3D
• torchrl — no summary
• torchrl-nightly — no summary
• torchsampler — A (PyTorch) imbalanced dataset sampler for oversampling low classesand undersampling high frequent ones.
• torchsat — TorchSat is an open-source PyTorch framework for satellite imagery analysis.
• torchsketch — TorchSketch is an open source software library for free-hand sketch oriented deep learning research, which is built on the top of PyTorch.
• torchsplit — A basic implementation to split labled data
• torchsr — Super Resolution Networks for pytorch
• torchtils — Utility of vision methods
• torchtnt — A lightweight library for PyTorch training tools and utilities
• torchtnt-nightly — A lightweight library for PyTorch training tools and utilities
• torchtostr — Module for quick and simple transportation of torch tensors arrays by converting them to str and back
• torchtrainer — Focus on building and optimizing pytorch models not on training loops
• torchtraineretnai — Deep learning trainer for PyTorch
• torchtraps — Python package for computer vision on camera trap images.
• torchure — A collection of small functions that supplements torch functionality
• torchvf — Vector fields for instance segmentation in PyTorch.
• torchvision-detection — Object detection reference training scripts.
• torchvision-extra — Additional datasets compatible with torchvision format
• torchvision4ad — torchvision for anomaly detection
• torchvtk — Efficient data loading and visualization for volumes in PyTorch
• torchwisdom — A High Level API for PyTorch
• torchwrapper — A Wrapper for PyTorch Models
• torchx — TorchX SDK and Components
• torchx-applovin — TorchX SDK and Components
• torchx-nightly — TorchX SDK and Components
• torchxai — Visualzation methods that help developers to realize the deep network
• torchxrayvision — TorchXrayVision: A library of chest X-ray datasets and models
• torchzq — TorchZQ: A simple PyTorch experiment runner.
• tormentor — A very easy to use argument parser.
• Torqueo — Personal toolbox for image Warping