Reverse Dependencies of albumentations

The following projects have a declared dependency on albumentations:

• adaptive-dataset — Demo library
• adelecv — no summary
• agl-model-zoo — no summary
• agl-predict-endo-frame — Multiclass prediction functionality for frames of endoscopy videos
• agml — A comprehensive library for agricultural deep learning
• AI-ML-Formulas-Recognizer-Extraction — A package for AI recognition tasks developed by Minh Nguyen and Liam.
• albumentations-experimental — Experimental functionality for the Albumentaions library.
• allencv — no summary
• armory-examples — TwoSix Armory Adversarial Robustness Library Examples
• AstroAugmentations — Augmentations for astronomical data sets
• aucmedi — AUCMEDI - a framework for Automated Classification of Medical Images
• augbuilder — A No-code solution to create the images transformation pipeline.
• autoalbument — AutoML for image augmentation
• autoballs — Python package for segmentation of axons and morphological analysis.
• autocare-dlt — Autocare Tx Model
• autotrain-advanced — no summary
• azureml-acft-image-components — Contains the code for vision model's components.
• back — Backbone for PyTorch training loop
• bio-image-unet — Implementations of U-Net and Siam U-Net for biological image segmentation
• bioencoder — A metric learning toolkit
• bioimageloader — load bioimages for machine learning
• bitfount — Machine Learning and Federated Learning Library.
• brainmri-ps — Automatically classify Brain MRI series by pulse sequence types: FLAIR, T1C, T2, ADC, DWI, TOF and OTHER
• caped-ai-augmentations — Augmentations for volume, planar segmentation, classification image segmentation and associated csv file of oneat clicks.
• carefree-learn — Deep Learning with PyTorch made easy
• celldetection — Cell Detection with PyTorch.
• cellseg-models.pytorch — Python library for 2D cell/nuclei instance segmentation models written with PyTorch.
• cenfind — Score cells for centrioles in IF data
• 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.
• cloths-segmentation — High quality model for cloths segmentation.
• cnn-framework — CNN framework
• cnocr — Python3 package for Chinese/English OCR, with small pretrained models
• composed-trackers — Trackres adapters and interfaces
• controlnet — ControlNet - Adding Conditional Control to Text-to-Image Diffusion Models
• cral — CRAL: Library for CNNs
• custom-bgr — Customized background removal app
• cvd — no summary
• data-handler — A package for handling and structuring of data before training.
• deepchecks — Package for validating your machine learning model and data
• deepd3 — A tool for segmenting dendrites and dendritic spines.
• deepflash2 — A Deep learning pipeline for segmentation of fluorescent labels in microscopy images
• deeplite-torch-zoo — The deeplite-torch-zoo package is a collection of popular pretrained deep learning models and their datasets for PyTorch framework.
• deepprojection — Trainable projection of 3D microscopy stacks using deep learning
• deeptissueunet — no summary
• differentiable-randaugment — Optimize RandAugment with differentiable operations
• DLPipeline — Platform for experimenting and Prototyping with Deeplearning.
• dlu_core — My utility functions for work
• domino-code-assist — no summary
• donkeycar — Self driving library for python.
• doppio — Hello first doppio projects
• earsegmentationai — Pytorch Based - Efficient and Lightweight Ear Segmentation
• efemarai — A CLI and SDK for interacting with the Efemarai ML testing platform.
• efficient-ocr — Efficient OCR
• EISeg — 交互式标注软件
• emcaps — Code for the paper Genetically encoded barcodes for correlative volume electron microscopy
• empanada-dl — Algorithms for Panoptic Segmentation of organelles in EM
• ever-beta — A Library for Earth Vision Researcher
• facemask-detection — Unstructured set of the helper functions.
• fake-check — baseline deepcheck module
• farabio — farabio - Deep learning for biomedical imaging
• fast-plate-ocr — Fast & Lightweight OCR for vehicle license plates.
• fastai — fastai simplifies training fast and accurate neural nets using modern best practices
• fastAIcourse — fastAIcourse
• fastestimator — Deep learning framework
• fastestimator-nightly — Deep learning framework
• fastgs — Geospatial (Sentinel2 Multi-Spectral) support for fastai
• featurize-package — Official packages for featurize.
• fer-pytorch — Facial Expression Recognition package implemented in Pytorch.
• fhailib — FH,FJ Vision AI SYSTEM LIB
• fontina — Visual font recognition (VFR) library
• fractalai — Integrated image classification and semantic segmentation package
• galaxy-datasets — Galaxy Zoo datasets for PyTorch/TensorFlow
• geolibs — A wrapper library that integrates GeoEngine and MMLab libraries for GeoSpatial ML development.
• geotils — geotils by GEOAI group
• geowatch — no summary
• heimarobot — Heimarobot Python Library
• hnzhu010503 — A small example package
• hnzhu010504 — A small example package
• hnzhu010506 — A small example package
• hnzhu010507 — A small example package
• human-parsing — Human Parsing SDK
• hypast — Hypothalamus Automatic Segmentation Tool
• iann — 交互式标注软件
• iautils — Image & Audio Common Utils
• icevision — Agnostic Computer Vision Framework
• icflow — A collection of simple utilities for machine learning workflows.
• image-augs — Image Augs supports Augmentation for Object Detection , Instance Segmentation and classification tasks.
• imaginarium — no summary
• img2dataset — Easily turn a set of image urls to an image dataset
• innoframework — no summary
• invokeai — An implementation of Stable Diffusion which provides various new features and options to aid the image generation process
• jaitool — Tools for AI related task
• juans — juans is a package for fast iterating your deep learning experiment, it has some helpful tricks which are often used in competition and work by me, and more tricks are on the way!
• kagglerecipes — Useful code for different Kaggle competitions. Currently covering RSNA-MICCAI Brain Tumor Radiogenomic Classification Kaggle competition.
• kf-d3m-primitives — All Kung Fu D3M primitives as a single library
• kraken — OCR/HTR engine for all the languages
• kubiki — kubiki
• labelme2yolov7segmentation — no summary
• legos.ai — A simple framework for fast protopying of Deep Learning researches.