Reverse Dependencies of torchvision
The following projects have a declared dependency on torchvision:
- diart — A python framework to build AI for real-time speech
- DICaugment — 3D medical image augmentation library
- did-it-spill — Checks if you have data from train set in your test set
- difference-finder — Find difference between two images using pytorch.
- differnet-zerobox — A training core function that can be installed for various projects
- diffnn — diffnn - differencing deep neural networks
- diffpose — Patient-specific intraoperative 2D/3D registration via differentiable rendering
- diffq — Differentiable quantization framework for PyTorch.
- diffusers — State-of-the-art diffusion in PyTorch and JAX.
- diffusers-unchained — Diffusers
- diffusersv — State-of-the-art diffusion in PyTorch and JAX.
- diffusion-sde — Use score-based generative models to generate new images.
- diffuzers — diffuzers
- DigiPathAI — Deep Learning toolbox for WSI (digital histopatology) analysis
- dimweb-persona-bot — A dialogue bot with a personality
- dingo-gw — Deep inference for gravitational-wave observations
- dinov2 — PyTorch code and models for the DINOv2 self-supervised learning method.
- dis-inference — Inference implementation for Dichotomous Image Segmentation
- disent — Vae disentanglement framework built with pytorch lightning.
- disformers — Huggingface transformers for discord.
- disjrnet-pytorch — A small example package
- distil-primitives — Distil primitives as a single library
- Djaizz — Artificial Intelligence (AI) in Django Applications
- dl-ext — Chen Linghao's personal utils.
- dl-models — Contains various neural networks
- dlc2action — tba
- dlg-home-content — model to identify tv sizes using images
- dlordinal — Deep learning for ordinal classification
- dlproject — The opinionated deep learning template.
- dlsia — Deep Learning for Scientif Image Analysis
- DLtorch — Deep Learning Framework based on Pytorch
- dmme — Diffusion Models Made Easy
- dnfal — A deep learning-based library for real-time face analysis.
- dnikit_torch — DNIKit PyTorch integration and support.
- dnn — Machine Learning Utilities
- dnnf — dnnf - dnn property falsification
- dnnv — dnnv - deep neural network verification
- doc-ufcn — Doc-UFCN
- docembedder — Package for creating document embeddings of patents and analysis tools.
- docile-benchmark — Tools to work with the DocILE dataset and benchmark
- docta.ai — Docta.ai
- DocumentLayoutAnalysis — DIT document layout
- dolphins-recognition-challenge — The first challange of Croatian AI league - dolphins recognition
- domainlab — Library of modular domain generalization for deep learning
- domino — no summary
- domino-code-assist — no summary
- donkeycar — Self driving library for python.
- doppio — Hello first doppio projects
- draggan — no summary
- Draugr — A package for plotting directly in your terminal
- dreamai-dl — Deep Learning tools based on dreamai.
- dreamai-obj — Object Detection using dreamai.
- dreamsim — DreamSim similarity metric
- drlx — DRLX is a library for distributed training of diffusion models via RL
- dronevis — Full compatible drone library to automate computer vision algorithms on parrot drones.
- druida — Metasurface-design artificial intelligence
- ds-ml-data-kit — Functions and helpers to accelerate ml and data analysis tasks currently functions only for pytorch
- dstr — dim string
- dtox — TODO
- dtrc — data torch
- dtyp — typed dict utilities
- dualopt — Dual Optimizer Training
- dunedn — ProtoDUNE raw data denoising with DL
- dvcx — DVCx
- dvsgc — DVS-Gestures-Chain. Implementation of the dataset defined in "Spiking Neural Networks for event-based action recognition: A new task to understand their advantage"
- dylightful — Package to uncover hidden interaction patterns in supramolecular complexes
- dynamic-unet — Dynamic U-Nets with PyTorch for image segmentation
- dynamicdl — A PyTorch-based dynamic dataloading library
- dynamicdl-headless — A PyTorch-based dynamic dataloading library
- dynast — DyNAS-T (Dynamic Neural Architecture Search Toolkit) - a SuperNet NAS optimization package
- e2e-sae — Repo for training sparse autoencoders end-to-end
- e2eAIOK-ModelAdapter — IntelĀ® End-to-End AI Optimization Kit
- ealocr — EasyAimLock forked edition / End-to-End Multi-Lingual Optical Character Recognition (OCR) Solution
- earsegmentationai — Pytorch Based - Efficient and Lightweight Ear Segmentation
- earthai — AI tools for Earth Science
- easy-module-attribute-getter — Select module classes and functions using yaml, without any if-statements.
- easybird — A python toolkit for Bird Activity Detection (BAD)
- EasyDeL — An open-source library to make training faster and more optimized in Jax/Flax
- easyfsl — Ready-to-use PyTorch code to boost your way into few-shot image classification
- easyinstruct — An Easy-to-use Instruction Processing Framework for Large Language Models.
- easyocr — End-to-End Multi-Lingual Optical Character Recognition (OCR) Solution
- easypaddleocr — A simple, optional tool for PaddleOCR Detection, direction classification and recognition on CPU and GPU using torch.
- ebdataset — An event based dataset loader under one common API.
- ebtorch — Collection of PyTorch additions, extensions, utilities, uses and abuses
- ecallisto-ng — A Python package for the fetching (and some processing and plotting) of eCallisto data based on request and pandas.
- echofilter — Remove echosounder noise by identifying the ocean floor and entrained air at the ocean surface.
- EchoTorch — A Python toolkit for Reservoir Computing.
- eclipse — A simplified and extended version of OpenAI's Contrastive Language-Image Pretraining
- ecpick — Enzyme Commission Number Prediction
- edgify — Personalize DL models on the edge.
- ednaml — A framework running and tracking ML experiments
- EduNLP — no summary
- eeggan — This package uses Generative Adversarial Networks (GANs) to augment EEG data to enhance classification performance.
- effdet — EfficientDet for PyTorch
- effective-horizon — Code for the NeurIPS 2023 paper "Bridging RL Theory and Practice with the Effective horizon" and the ICLR 2024 paper "The Effective Horizon Explains Deep RL Performance in Stochastic Environments".
- efficientvit-gml — open-set object detector
- egc — Benchmark of Graph Clustering.
- egypt — PyTorch Implementation of Multiscale Decomposition and Pyramid Algorithms
- eir-dl — no summary
- eis1600 — EIS1600 project tools and utilities