Reverse Dependencies of timm

The following projects have a declared dependency on timm:

• accelerate — Accelerate
• adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• adversarial-robustness-toolbox — Toolbox for adversarial machine learning.
• AI-ML-Formulas-Recognizer-Extraction — A package for AI recognition tasks developed by Minh Nguyen and Liam.
• aideml — Autonomous AI for Data Science and Machine Learning
• aisee — aisee is a Python package for image classification using PyTorch and timm created by Instituto de Ingeniería del Conocimiento
• allin1 — All-In-One Music Structure Analyzer
• alphapose — no summary
• amazon-photos — Amazon Photos API
• ammico-lavis — LAVIS - A One-stop Library for Language-Vision Intelligence
• annolid — An annotation and instance segmentation-based multiple animal tracking and behavior analysis package.
• anomalib — anomalib - Anomaly Detection Library
• APAC-SCALE — Transformers at any scale
• asociita — An intuitive and modular simulator for assessing the marginal value of a client's contribution in a decentralized setting.
• audioldm2 — This package is written for text-to-audio/music generation.
• audiosr — This package is written for text-to-audio/music generation.
• audiossl — no summary
• auto1111sdk — SDK for Automatic 1111.
• autoalbument — AutoML for image augmentation
• autoballs — Python package for segmentation of axons and morphological analysis.
• autocare-dlt — Autocare Tx Model
• autodistill-detr — DETR module for use with Autodistill
• autodistill-fastvit — FastViT model for use with Autodistill
• autodistill-seggpt — SegGPT for use with Autodistill
• autogluon.multimodal — Fast and Accurate ML in 3 Lines of Code
• autogluon-tonyhu-test.multimodal — AutoML for Image, Text, and Tabular Data
• autogluon.vision — AutoML for Image, Text, and Tabular Data
• autonomi-nos — Nitrous oxide system (NOS) for computer-vision.
• avalanche-lib — Avalanche: a Comprehensive Framework for Continual Learning Research
• axlearn — AXLearn
• azureml-automl-dnn-vision — AutoML DNN Vision Models
• beit3-gml — Package for beit3, part of UniLM by Microsoft, customized for GML tasks
• bioencoder — A metric learning toolkit
• bitfount — Machine Learning and Federated Learning Library.
• bkh-pytorch-utils — A rapid prototyping tool for MONAI & PyTorch Lightning
• blip-ci — BLIP library for use with CLIP Interrogator
• blip-inference — project_description
• blip-vit-fork — BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
• BrainCog — BrainCog is an open source spiking neural network based brain-inspired cognitive intelligence engine for Brain-inspired Artificial Intelligence and brain simulation. More information on braincog can be found on its homepage http://www.brain-cog.network/
• burdoc — Advanced PDF parsing for python
• celldetection — Cell Detection with PyTorch.
• cellseg-models.pytorch — Python library for 2D cell/nuclei instance segmentation models written with PyTorch.
• cfm-task-models — CFM - model zoo
• change-detection-pytorch — Change detection models with pre-trained backbones. Inspired by segmentation_models.pytorch.
• check-orientation — Check if image was rotated by 90, 180, 270 degrees.
• chitra — A multi functional library for full stack Deep Learning.
• climate-learn — ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
• ClipExtractor — Art Image Captioning Extractor by using CLIP Models
• CloudS2Mask — Python library for cloud and cloud shadow segmentation in Sentinel-2
• cn-clip — the Chinese version of CLIP.
• cody-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• controlnet — ControlNet - Adding Conditional Control to Text-to-Image Diffusion Models
• controlnet-aux — Auxillary models for controlnet
• controlnet-aux-voltaml — Utilities for preprocessing images for controlnet
• controlnet-hinter — ControlNet hint embedding utilities
• convnext-unet — Unet model with ConvNext as its encoder.
• convnextpl — An implementation of the ConvNeXt architecture built on the PyTorch-Lightning API
• coreml — Generic Framework for ML projects
• cream-python — Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models
• cstx — Description of the cstx package
• custom-bgr — Customized background removal app
• cyto-dl — Collection of representation learning models, techniques, callbacks, utils, used to create latent variable models of cell shape, morphology and intracellular organization.
• d3m-segmentation-models-pytorch — Image segmentation models with pre-trained backbones. PyTorch.
• dailyai — An open source framework for real-time, multi-modal, conversational AI applications
• dalpha-ai — no summary
• dalpha-ai-cpu — no summary
• darmo — darts model pre-trained
• datasouls-antispoof — Detect spoofing attack
• deepdoctection — Repository for Document AI
• deepflash2 — A Deep learning pipeline for segmentation of fluorescent labels in microscopy images
• deepinv — Pytorch library for solving inverse problems with deep learning
• deeplite-torch-zoo — The deeplite-torch-zoo package is a collection of popular pretrained deep learning models and their datasets for PyTorch framework.
• DeepManufacturing — AI and Machine Learning for manufacturing related datasets
• DeepMuon — Interdisciplinary Deep Learning Platform
• detectors — Detectors: a python package to benchmark generalized out-of-distribution detection methods.
• detic-fast — Fork of https://github.com/facebookresearch/Detic
• detic-fork — Fork of repository https://github.com/facebookresearch/Detic
• devolearn — Accelerate data driven research in developmental biology with deep learning models
• dgenerate — Batch image generation and manipulation tool supporting Stable Diffusion and related techniques / algorithms, with support for video and animated image processing.
• diffpose — Patient-specific intraoperative 2D/3D registration via differentiable rendering
• diffuzers — diffuzers
• Djaizz — Artificial Intelligence (AI) in Django Applications
• dl-pipeline — A Deep Learning Pipeline
• docile-benchmark — Tools to work with the DocILE dataset and benchmark
• DocumentLayoutAnalysis — DIT document layout
• domino-code-assist — no summary
• donut-python — OCR-free Document Understanding Transformer
• dreamai-dl — Deep Learning tools based on dreamai.
• dreamsim — DreamSim similarity metric
• e2eAIOK-denas — Intel® End-to-End AI Optimization Kit
• e2eAIOK-ModelAdapter — Intel® End-to-End AI Optimization Kit
• e2vec — no summary
• easyeditor — easyeditor - Editing Large Language Models
• EasyTTS — Ready-to-use Multilingual Text-To-Speech (TTS) package.
• effdet — EfficientDet for PyTorch
• efficient-ocr — Efficient OCR
• efficientvit-gml — open-set object detector
• eir-dl — no summary
• ellzaf-ml — Ellzaf ML
• embetter — Just a bunch of useful embeddings to get started quickly.