Reverse Dependencies of torchvision
The following projects have a declared dependency on torchvision:
- eisen-cli — Eisen Command Line Interface (CLI)
- eisen-core — Eisen is a collection of tools to train neural networks for medical image analysis
- eisen-deploy — Eisen deploy provides model deployment and serving functionality
- eisen-extras — Extra functionality and foreign functionality adapted for use within Eisen
- ElectronCounting — Count single electron in direct electron detector data
- elektronn3 — Utilities for 3D CNNs in PyTorch
- ellzaf-ml — Ellzaf ML
- elysium-knowledge-repository — Elysium Knowledge Repository - Pytorch
- EMAI — Electron microscopy AI tools
- empanada-dl — Algorithms for Panoptic Segmentation of organelles in EM
- encdecmeta — A meta search space for encoder decoder networks.
- encord-active — Enable users to improve machine learning models in an active learning fashion via data, label, and model quality.
- enot-autodl — AutoDL framework for neural network compression & acceleration
- entity-embed — Transform entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.
- entropyrank — Entropy Rank keyphrase extractor
- EQNet — no summary
- eqxvision — Root package info.
- era5-torch — PyTorch-compatible wrapper for Era5
- erutils — no summary
- essAI — Essay Generator
- etc-ml — etc project
- EthicML — A toolkit for understanding and researching algorithmic bias
- etrc — PyTorch Enumerations
- evadb — EvaDB AI-Relational Database System
- evatestdb — EVA is a visual data management system (think MySQL for videos).
- eve-ml — Eve: make deep learning more interesting.
- eve-mli — eve-mli: making learning interesting.
- evojax — EvoJAX: Hardware-accelerated Neuroevolution.
- evolly — Evolutionary NAS framework
- ex2mcmc — Local-Global MCMC kernels: the bost of both worlds (NeurIPS 2022)
- example-package-cstashko — A small example package
- exlib — Toolkit for explainability by BrachioLab
- exordium — Collection of utility tools and deep learning methods.
- experiment-lab — A suite of flexible experiments of a variety of different tasks.
- exposuremodelf — no summary
- exsclaim — EXSCLAIM! is a library for the automatic EXtraction, Separation, and Caption-based natural Language Annotation of IMages from scientific figures.
- extorch — An useful extension library of PyTorch.
- eye2you — fundus image analysis
- ez-torch — Utility functions and fluent interface for pytorch tensors and modules
- ezDL — A Simple Tool to make Deep Learning projects easier
- ezflow — A PyTorch library for optical flow estimation using neural networks
- ezsam — Extract foreground from images or video via text prompt
- face-crop-plus — Automatic face aligner and cropper with quality enhancement and attribute parsing.
- face-detection — A simple and lightweight package for state of the art face detection with GPU support.
- Face-Detector-shu244 — Extract faces from images
- face-rhythm — A pipeline for analysis of facial behavior using optical flow
- face-tagger — A library for face recognition in multiple images and classification of photos containing each individual.
- faceai-bgimpact — FaceAI-BGImpact implements various generative methods and studies the impact of altering the background on the generated images and the training of the models.
- facechain — facechain
- FaceCropAnime — A Pipeline to Implement FaceCrop for Anime Images
- facelandmarks — Human face landmarking via machine learning model
- facenet-pytorch — Pretrained Pytorch face detection and recognition models
- faceshine — Photo image enhancer
- facetorch — Face analysis PyTorch framework.
- facexformer-pipeline — A module to run facexformer model as pipeline
- facexlib — Basic face library
- fake-check — baseline deepcheck module
- fancy-trainer — a simple configurable DL trainer made by Pytorch
- fandak — A Framework for ML Research Using PyTorch
- farabio — farabio - Deep learning for biomedical imaging
- fast-alignment — Vectorized face alignment
- fast-perceiver — Fast and memory efficient PyTorch implementation of the Perceiver with FlashAttention.
- fast-tts — no summary
- fastai — fastai simplifies training fast and accurate neural nets using modern best practices
- fastai-prims — Fastai Image Processing primitives
- fastai2 — Version 2 of the fastai library
- fastaibreadcrumbs — Breadcrumbs for fastai users
- fastAIcourse — fastAIcourse
- fastBio — Deep learning for biological sequences with fastai
- fastdrl — Deep Reinforcement Learning with fastai
- fasteasySD — Simplified library for comfyUI-lcm extensions. support txt2img or img2img
- fastervit — FasterViT: Fast Vision Transformers with Hierarchical Attention
- fastface — A face detection framework for edge devices using pytorch lightning
- fastmri — A large-scale dataset of both raw MRI measurements and clinical MRI images.
- fastnn — A python library and framework for fast neural network computations.
- fastreid — SOTA Re-identification Methods and Toolbox
- fastseg — Fast Semantic Segmentation for PyTorch
- faststyle — Fast style transfer API
- fathomnet — fathomnet-py is a client-side API to help scientists, researchers, and developers interact with FathomNet data.
- fcdocs — no summary
- fcw-core — Early collision warning Network Application for Transportation use case - core part
- fdet-offline — An easy to use face detection module based on MTCNN and RetinaFace algorithms.
- fdfat — Fast 6DoF Face Alignment and Tracking
- feacher — Feacher - An Image Feature Vector Extraction Library
- featurize-package — Official packages for featurize.
- fedata — no summary
- fedbiomed-cli — no summary
- fedcontinuum — FedContinuum: Federated Continual Learning Scenarios Management Tool
- federa — FedERA is a highly dynamic and customizable framework that can accommodate many use cases with flexibility by implementing several functionalities over different federated learning algorithms, and essentially creating a plug-and-play architecture to accommodate different use cases.
- fedhf — A Federated Learning Framework which is Heterogeneous and Flexible.
- FedJust — no summary
- fedlib — A Scalable Federated Learning Library
- fedml — A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.
- fedml-afaf — A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.
- fedot-ind — Time series analysis framework
- fedsim — Generic Federated Learning Simulator with PyTorch
- fedtoy — 🧸FedToy: A robust deterministic federated learning simulator.
- Few-Shot-Learning-NLP — This library provides tools and utilities for Few Shot Learning in Natural Language Processing (NLP).
- FewSOLDataLoader — Pytorch Dataloader for FewSOL
- ffl — Forcast Federated Learning