Reverse Dependencies of torchvision
The following projects have a declared dependency on torchvision:
- luis-v-subtitler — A Python package to use AI to subtitle any video in any language
- lung-annotator — no summary
- lungs-segmentation — High quality model for lungs segmentation.
- luxonis-train — Luxonis training framework for seamless training of various neural networks.
- lwcc — A LightWeight Crowd Counting library for Python
- LymphoMNIST — A PyTorch dataset for Lymphocites.
- M18K — Mushroom RGB-D image dataset for object detection and instance segmentation
- m3-learning — Tutorials, Projects, and datasets from the M3-learning research group
- m3inference — M3 Inference
- macc — mini accelerator
- machine-learning-datasets — A simple library for loading machine learning datasets and performing some common machine learning interpretation functions. Built for the book "Interpretable Machine Learning with Python, 2E".
- mAdvisor — An automated AI/ML solution from Marlabs
- magvit2-pytorch — MagViT2 - Pytorch
- malpolon — Malpolon v1.1.0
- mambo-minhhai — A small example package
- mammopy — A unified solution for mammogram image analysis and interpretation
- manipulation — MIT 6.421 - Robotic Manipulation
- mapd — Package for applying MAP-D to your project
- mapreader — A computer vision pipeline for the semantic exploration of maps/images at scale
- marinedebrisdetector — A detector of marine debris with Sentinel-2 scenes
- markus_exam_matcher — A package for matching students to test papers in MarkUs
- marlin-pytorch — Official pytorch implementation for MARLIN.
- mask-rcnn-documents — no summary
- matcha-tts — 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
- matterhorn-pytorch — Matterhorn is a novel general neuromorphic computing framework based on PyTorch.
- mb-pytorch — Pytorch functions functions package
- mc-transformers — Utils to run multiple choice question answering with huggingface transformers
- mcaption — A modern implementation of simple image captioning
- mcemtools — State of the art analysis tools for 4D STEM
- mcquic — McQuic, a.k.a. Multi-codebook Quantizers for neural image compression
- mcraft — A modern version of CRAFT-pytorch using the latest versions
- MCTThermalFace — no summary
- mcunet — MCUNet: Tiny Deep Learning on IoT Devices
- mdade — 'mdade' offers a lightweight PyTorch toolbox for Masked Autoregressive models
- mechlib — Mech Library for MechBattles
- med-clip-weixiong — MedCLIP
- med-seg-diff-pytorch — MedSegDiff - SOTA medical image segmentation - Pytorch
- medcam3d — CAM for 3D medical image networks
- MedCLIP — Contrastive Learning from Medical Images and Text.
- medicaltorch — An open-source pytorch medical framework.
- medimeta — Library for using the MedIMeta dataset
- medmnist — MedMNIST: 18 MNIST-like Datasets for 2D and 3D Biomedical Image Classification
- medseglib — A package to segmentation tumor on CT and MRI
- meerkat-ml — Meerkat is building new data abstractions to make machine learning easier.
- megatron-energon — Megatron's multi-modal data loader
- meitorch — Generate Most Exciting Input to explore and understand PyTorch model's behavior by identifying input samples that induce high activation from specific neurons in your model.
- melime — no summary
- MemCNN — A PyTorch framework for developing memory efficient deep invertible networks.
- memery — no summary
- memtorch — A Simulation Framework for Memristive Deep Learning Systems
- memtorch-cpu — A Simulation Framework for Memristive Deep Learning Systems
- menovideo — (Unofficial) PyTorch library data efficient video transformer for video understanding and action recognatio
- mera — An heterogeneous deep learning compiler framework.
- mera-tvm-runtime — Mera TVM: An End to End Tensor IR/DSL Stack for Deep Learning Systems, adapted to Mera (https://github.com/Edgecortix-Inc/mera) environment.
- merlinth-mri — Machine Enhanced Reconstruction Learning and Interpretation Networks (MERLIN) - merlinth
- meta-label — Meta Auto Label Toolkit
- metallic — A simple toolbox for meta-learning research based on Pytorch.
- metaquantus — MetaQuantus is a XAI performance tool for identifying reliable metrics.
- metaseg — MetaSeg: Packaged version of the Segment Anything repository
- MetDL — Extended library to read Meteorological data for AI Study
- metnet — PyTorch MetNet Implementation
- metroem — Metric learning optimization pyramid for EM alignment
- mge-lpips — LPIPS Similarity Metric for MegEngine
- mia-vgg — MIA on VGG dataset using pytorch
- micromind — MicroMind
- micronet — A model compression and deploy lib.
- miffi — cryo-EM micrograph filtering utilizing Fourier space information
- migperf — Multi-Instance-GPU profiling tool
- miidl — A Python package for microbial biomarkers identification powered by interpretable deep learning
- mimeta-pytorch — Library for using the MIMeta dataset
- mini-dust3r — Miniature version of dust3r, focused on inference
- minimagen — Minimal Imagen text-to-image model implementation.
- miniminiai — A mini version of fastai's miniai
- minirl — minirl - RL for Robot
- mirzai — Prediction of Exchangeable Potassium in Soil through Mid-Infrared Spectroscopy and Deep Learning: from Prediction to Explainability, Albinet et al., 2022
- mit-semseg — Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
- mitorch — MiTorch training framework
- mix-mavis — MAVIS 数据分析工具
- mixdiff — Mixture of Diffusers for scene composition and high resolution image generation .
- mixdq-extension — no summary
- ml-digits-recognition — A simple digits recognition neural network
- ml-dp-utils — Pacote utilidades Deep Learning
- ml-init — Install the main ML libraries
- ml-project-tracker — A package for tracking the ML projects
- ml-starter — ML project template repository
- ml-swissknife — Reusable ML research primitives for fast prototyping.
- ML-Translator-5 — A Docx File Translator Using ML
- ML-Translator-6 — A Docx File Translator Using ML
- ml4a — A toolkit for making art with machine learning, including an API for popular deep learning models, recipes for combining them, and a suite of educational examples
- ml4floods — Machine learning models for end-to-end flood extent segmentation.
- mlagility — MLAgility Benchmark and Tools
- mlbands — A Python package that implements automatic prediction of electronic band gaps for a set of materials based on training data
- mlbench-core — A public and reproducible collection of reference implementations and benchmark suite for distributed machine learning systems.
- MLclf — mini-imagenet dataset transformed to fit classification task or keep the format for meta-learning tasks.
- mlcvzoo-mmdetection — MLCVZoo MMDetection Package
- mlcvzoo-mmocr — MLCVZoo MMOCR Package
- mlcvzoo-mmrotate — MLCVZoo MMRotate Package
- mlcvzoo-yolox — MLCVZoo YOLOX Package
- mlem — Version and deploy your models following GitOps principles
- mlfab — A collection of core machine learning tools