Reverse Dependencies of torchvision
The following projects have a declared dependency on torchvision:
- tetra-hub — Python API for Tetra Hub.
- Tetra-Model-Zoo — Models optimized for export to run on device.
- text-gen — build a text generation model
- textbook — Text classification datasets
- textbsr — a simple version for blind text image super-resolution (current version is only for English and Chinese)
- textmining_utility — textmining package that uses existing libraries
- TextPinner — A python library for pinning a text to one of texts list. Useful for natural commands parsing.
- tglcourse — work-in-progress course
- thai-nner — Thai Nested Named Entity Recognition
- thai-personal-card-extract — Library for extract infomation from thai personal identity card
- the-utils — no summary
- thelper — Provides training help & tools for PyTorch-based machine learning projects.
- thingsvision — Extracting image features from state-of-the-art neural networks for Computer Vision made easy
- tiatoolbox — Computational pathology toolbox developed by TIA Centre.
- tiledb-ml — Package supports all machine learning functionality for TileDB Embedded and TileDB Cloud
- tilemapgen — Generate isometric tilemaps from text prompts
- time-interpret — Model interpretability library for PyTorch with a focus on time series.
- timelens — A tool to analyze and understand time series in convolutional neural networks
- TimeSeriesML — TimeSeriesML
- timm — PyTorch Image Models
- timm-3d — Python library with Neural Networks for Volume (3D) Classification based on PyTorch.
- timm-eidl — PyTorch Image Models
- timst — Image style transfer using Torch
- tinder — Pytorch helpers and utils
- TINX — Vanilla PyTorch Testing
- tinyimagenet — Dataset class for PyTorch and the TinyImageNet dataset, with automated download and extraction.
- TiRank — A comprehensive analysis tool for transfering phenotype of bulk transcritomic data to single cell or spatial transcriptomic data.
- titli — A library for collection of IDS and tools for evaluating them
- TlseHypDataSet — A Python library to flexibly load the Toulouse Hyperspectral Data Set
- tlt — Token Labeling Toolbox for training image models
- toddleocr — Awesome OCR toolkits based on Torch (8.6M ultra-lightweight pre-trained model, support training and deployment among server, mobile, embedded and IoT devices
- tofa — Collection of requisites to speed up research & development with PyTorch
- tok715 — CODENAME: TOK715
- tomoco — A CNN Channel Pruning System
- tonks — General purpose multi-task classification library
- top-pr — TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models.
- topmost — Towards the Topmost: A Topic Modeling System Tookit
- torch-dreams — Making neural networks more interpretable, for research and art
- torch-encoding — PyTorch Encoding Package
- torch-enhance — Image Super-Resolution Library for PyTorch
- torch-featurelayer — Useful utility functions and wrappers for hooking onto layers within PyTorch models for feature extraction.
- torch-fidelity — High-fidelity performance metrics for generative models in PyTorch
- torch-gaggle — Gaggle: Genetic Algorithms on the GPU using PyTorch
- torch-hypothesis — Generate pytorch data structures for the hypothesis testing library.
- torch-image2vector — Extract images embeddings with variation of pre-trained torch models
- torch-kitti — utilities and pytorch datasets for the KITTI Vision Benchmark Suite
- torch-liberator — The torch liberator module
- torch-lighter — Lightweight extension for torch to speed-up prototyping.
- torch-logs — no summary
- torch-lr-finder — Pytorch implementation of the learning rate range test
- torch-lucent — Lucid for PyTorch. Collection of infrastructure and tools for research in neural network interpretability.
- torch-model-manager — A package for managing PyTorch models
- torch-models — PyTorch Models Hub
- torch-mtcnn — Implementation of MTCNN using Pytorch.
- torch-nk — Implemetation XAI in Computer Vision (Pytorch)
- torch-nk-5 — your mind
- torch-nk-6 — your mind
- torch-nkill — your mind
- torch-nos — Nitrous Oxide for your AI Infrastructure.
- torch-optim — PyTorch models optimization using neural network pruning
- torch-pixel-classifier — no summary
- torch-resize-images — A Python library to resize images using PyTorch
- torch-rs — PyTorch Library for Remote Sensing
- torch-simplify — Simplification of pruned models for accelerated inference
- torch-staintools — GPU-accelerated stain normalization and augmentation
- torch-template — Torch_Template - A PyTorch template with commonly used models and tools
- 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.