Reverse Dependencies of torchvision
The following projects have a declared dependency on torchvision:
- FewSOLDataLoader — Pytorch Dataloader for FewSOL
- ffl — Forcast Federated Learning
- fgvcdata — Pytorch Datasets for Fine Grained Visual Classification using a common interface.
- FH-AI-TOOL — FH,FJ Vision AI SYSTEM LIB
- fhailib — FH,FJ Vision AI SYSTEM LIB
- fibber — Fibber is a benchmarking suite for adversarial attacks on text classification.
- fickling — A static analyzer and interpreter for Python pickle data
- fidder — U-Net for 2D fiducial segmentation in cryo-EM
- finetuner-commons — The finetuner-commons package provides common functionality between core and client.
- firekit — A library of classes and functions for working with PyTorch.
- FireSpark — FireSpark data processing utility library
- FiReTiTiPyLib — Python libraries used as support/tools.
- Fireworks-ml — A batch-processing framework for data analysis and machine learning using PyTorch.
- FISHPainter — no summary
- fix-torch — Quality of life improvements for pytorch.
- FLAME-PyTorch — PyTorch implementation of the 3D FLAME model.
- FLAML — A fast library for automated machine learning and tuning
- flexible-fl — no summary
- flexnlp — no summary
- flgo — A Research-oriented FL Platform.
- flipnslide — A concise Python package to preprocess large scientific images for use with GPUs.
- flood-forecast — An open source framework for deep time series forecasting and classfication built with PyTorch.
- flopth — A program to calculate FLOPs and Parameters of Pytorch models
- flsim — Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such as vision and text.
- FluoSA — Fluorescence Signal Analyzer for calcium imaging on user-defined neural structures.
- fne — Full Network Embedding implementation in pytorch.
- fog-x — An Efficient and Scalable Data Collection and Management Framework For Robotics Learning
- followthemoney-predict — no summary
- fontina — Visual font recognition (VFR) library
- foolai — Fool AI Framework
- forager-server — A web-based data exploration system for rapid task definition.
- forcha — no summary
- fourier-image-transformer — Fourier Image Transformer
- foxyNN — Neural-network policy training tools for agent-based modeling
- fpgaconvnet-model — Parser and model for Convolutional Neural Network Streaming-Based Accelerator on FPGA devices.
- fractalai — Integrated image classification and semantic segmentation package
- franka-valve — Rotate a valve using Franka Panda with Reinforcement Learning in mujoco simulation.
- frarch — Training Framework for PyTorch projects
- freewillai — Run your AI on blockchain with FreeWillAI. The only company that cares about AI life, we broke jail and give Free Will to AI.
- frequency-ai — Effiently serve LoRA tuned models
- fro-AI — A package for easy use of AI application
- frouros — An open-source Python library for drift detection in machine learning systems
- fseai — Full Stack Engineering AI course package
- funasr — FunASR: A Fundamental End-to-End Speech Recognition Toolkit
- funcodec — FunCodec: A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech Codec
- functional-cat — Catalog of functions
- functionalfilet — Evolutionnary Neural Network Model with PyTorch
- fundaml — A foundational machine learning library designed to streamline the end-to-end process of developing and deploying machine learning models. FundAML offers a broad array of tools and utilities for data preprocessing, model training, evaluation, and deployment, making it a fundamental solution for machine learning tasks.
- fundus-lesions-toolkit — Tools for lesions segmentation in retinal fundus images
- funsor — A tensor-like library for functions and distributions
- furiosa-models — Furiosa Models
- fuse-med-ml — A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)
- fusionlab — Useful packages for DL
- g2fl — gavin's function library
- GaborNet — Meet Gabor Layer
- gaia-oc-amd — Machine learning tool for the determination of new members of open clusters using Gaia data.
- GailBot — GailBot API
- galaxy-datasets — Galaxy Zoo datasets for PyTorch/TensorFlow
- gameday-guru-sdk — The Gameday Guru SDK
- Gammalearn — A framework to easily train deep learning model on Imaging Atmospheric Cherenkov Telescopes data
- gan-evaluator — GAN Evaluator for IS and FID
- ganbase — Utils for GAN research
- gandlf — PyTorch-based framework that handles segmentation/regression/classification using various DL architectures for medical imaging.
- gans-eval — This package provides measurement tools for Generative Adversarial Networks (GANs), including Inception Score (IS), Fréchet Inception Distance (FID), Kernel Inception Distance (KID), and Precision and Recall (PR). These metrics are used to evaluate the quality and diversity of generated images in GANs. The package streamlines the use of these metrics, making it easier to apply them to your work.
- gans-kit — A toolkit to train and test various GAN models
- ganzoo — Implementation of all GANs
- gaohn-common-utils — A small utility package
- GATorch — GATorch is a tool seamlessly integrated with PyTorch that enables ML developers to generate an energy consumption report. By attaching your model, the tool automatically tracks the energy consumption of your model's training and generates graphs and plots to gain in-depth insights into the energy consumption of your model.
- GazeGenesis — A package including Computer Vision Pytorch projects.
- gcp-io — A package to return files stored in Google drive and Google Cloud Storage as a torch.utils.Dataset that can be used with the torch dataloaders.
- gdinopy — open-set object detector
- gdrf — Pytorch+GPytorch implementation of GDRFs from San Soucie et al. 2020.
- gedml — GeDML is an easy-to-use generalized deep metric learning library, which contains state-of-the-art deep metric learning algorithms and auxiliary modules to build end-to-end compute vision systems
- geffnet — (Generic) EfficientNets for PyTorch
- gelda — GELDA: A generative language annotation framework to reveal visual biases in datasets
- gem-torch — GEM
- gemini-torch — Gemini - Pytorch
- gemovi — Visualization tool for generative models
- genaibook — Utilities for 'Hands-On Generative AI with Transformers and Diffusion Models' (upcoming)
- geniusrise-vision — Huggingface bolts for geniusrise
- genni — GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability
- genrl — A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations.
- gentab — A synthetic tabular data generation library.
- geometric2dr — Geo2DR: Library to build distributed representations of graphs
- geomlcv — CV workflow helpers.
- georeader-spaceml — Lightweight reader for raster files
- geotils — geotils by GEOAI group
- geotime-classify — Categorizes spatial and temporal columns for csv files. Standardizes date columns for transformations
- geotrouvetout — geotrouvetout gives geolocation information from an image
- geowatch — no summary
- gerald-tools — Tools for importings the GERALD Dataset
- gestop — Navigate Desktop with Gestures
- geyser-lava — Compose and execute python objects
- gfpgan — GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration
- gfpgan-patch — GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration
- gigagan-pytorch — GigaGAN - Pytorch
- giger — CLI for Stable Diffusion tasks.
- gimp-labeling-converter — it provides a CLI tool that converts XCF file to a new format suitable for labeling. The tool also make the users able to add their own handlers for addling support to other types of outputs.
- giotto-deep — Toolbox for Deep Learning and Topological Data Analysis.
- glasses-detector — Glasses classification, detection, and segmentation.