Reverse Dependencies of isort

The following projects have a declared dependency on isort:

• autodistill-grounding-dino — GroundingDINO module for use with Autodistill
• autodistill-hls-geospatial — Use the HLS Geospatial model made by NASA and IBM to generate masks for use in training a fine-tuned segmentation model.
• autodistill-kosmos-2 — Kosmos-2 base model for use with Autodistill.
• autodistill-llama — no summary
• autodistill-llava — LLaVA for use with Autodistill
• autodistill-metaclip — MetaCLIP base model for use with Autodistill.
• autodistill-mobileclip — Model for use with Autodistill
• autodistill-oneformer — no summary
• autodistill-open-flamingo — no summary
• autodistill-otter — no summary
• autodistill-owl-vit — OWL-ViT module for use with Autodistill
• autodistill-owlv2 — OWLv2 base model for use with Autodistill.
• autodistill-paligemma — Auto-label data with a PaliGemma model, or ine-tune a PaLiGemma model using custom data with Autodistill.
• autodistill-palm — no summary
• autodistill-palm-e — no summary
• autodistill-palm2 — no summary
• autodistill-rekognition — AWS Rekognition base model for use with Autodistill
• autodistill-remote-clip — Remote CLIP model for use with Autodistill
• autodistill-roboflow-universe — Use models on Roboflow Universe to auto-label data for use in model training.
• autodistill-sam-clip — SAM-CLIP model for use with Autodistill
• autodistill-sam-hq — Segment Anything High Quality (SAM HQ) model for use with Autodistill
• autodistill-seggpt — SegGPT for use with Autodistill
• autodistill-segment-anything — Segment Anything model for use with Autodistill
• autodistill-setfit — Train SetFit models with Autodistill
• autodistill-siglip — SigLIP base model for use with Autodistill
• autodistill-swin — no summary
• autodistill-swinv2 — no summary
• autodistill-tag2text — no summary
• autodistill-transformers — Use object detection models in Hugging Face Transformers to automatically label data to train a fine-tuned model.
• autodistill-vertex — no summary
• autodistill-vit — ViT module for use with Autodistill
• autodistill-vlpart — VLPart for use with Autodistill
• autodistill-yolo-world — YOLO World for use with Autodistill
• autodistill-yolonas — YOLO-NAS module for use with Autodistill
• autodistill-yolor — no summary
• autodistill-yolov11 — Label data with and train YOLOv11 models.
• autodistill-yolov4 — no summary
• autodistill-yolov5 — YOLOv5 module for use with Autodistill
• autodistill-yolov6 — no summary
• autodistill-yolov8 — Automatically distill large foundational models into smaller, in-domain models for deployment
• autodistill-yolov9 — no summary
• autodistill-yolox — no summary
• autodistll-grounded-sam — Automatically distill large foundational models into smaller, in-domain models for deployment
• autodl-gpu — Automatic Deep Learning, towards fully automated multi-label classification for image, video, text, speech, tabular data.
• autoevals — Universal library for evaluating AI models
• autofac — AutoFac is a library for using Dependency Inversion Principle in Python
• autogen-agents — Unofficial agents for the Autogen framework
• autogluon-assistant — ML Assistant for Competitive Machine Learning
• autogluon.bench — A benchmarking tool for AutoML
• autogluon.eda — AutoML for Image, Text, and Tabular Data
• autohooks-plugin-isort — An autohooks plugin for python code formatting via isort
• autokeras — AutoML for deep learning
• automabot — Automabot bot for Discord.
• automagically — Python SDK für Automagically.
• autonav — Research software for navigating a UAV in indoor environments
• autonlp — HuggingFace/AutoNLP
• autonomous-learning-library — A library for building reinforcement learning agents in Pytorch
• autonomy-dev — A collection of tooling to enable open source development of autonomy tools
• autoprognosis — A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
• autoqasm — Python-native programming library for developing quantum programs
• autorad — Radiomics-related modules for extraction and experimenting
• autorec — AutoRec for automated recommendation
• autoscrum — AutoScrum
• autotech-sdk — Library for neccessary tools for autotech company
• autotrain-advanced — no summary
• autotrain-llm — autotrain_llm
• avi-mmdet — Custom OpenMMLab Detection Toolbox and Benchmark
• avicortex — Python functions and classes to build connectivity graphs and datasets from Freesurfer's brain cortical measurements.
• aviv-pip-download — A wrapper for pip download in offline scenario.
• avltree — Lightweight, pure-python AVL tree
• avmesos-cli — Apache Mesos CLI
• avoca — @voc@: Quality assessement of measurement data
• avrofastapi — Automatic avro wire protocol support for FastAPI
• aws-cdk-lambda-poetry-asset — AWS CDK construct for packaging lambda functions with dependencies
• aws-es-query — Query tool for AWS ElasticSearch using IAM
• aws-lambda-context — AWS Lambda Context class for type checking and testing
• aws-orga-deployer — Deploy infrastructure-as-code at the scale of an AWS organization
• aws-service-catalog-factory — Making it easier to build out ServiceCatalog products
• awschains — no summary
• awsrun — CLI and library to execute commands over one or more AWS or Azure accounts concurrently.
• axios — Command line utility to access https://family.axioscloud.it
• axlearn — AXLearn
• az-iranian-bank-gateways — Iranian Bank Gateways for django
• azfiles — Work with file shares in azure via REST API
• azup — Work with azure cloud using `az` cli
• azure-datalake-utils — Utilidades para interactuar con Azure Datalake.
• azure_mlops_helper — Azure helper for e2e ml pipelines
• bababel — A messaging consumer library for handling and processing messages efficiently.
• babbab — BAyesian Beta-Binomial AB testing (BABBAB), is an implementation
• backend.ai-aiotusclient — tus.io-compatible upload client library for Python asyncio
• backend-setuptool — backend setuptool for mahfooziiitian
• backgrounder — Run background tasks in asynchronous mode at all times
• backpack-exchange-sdk — A simple SDK for backpack exchange
• backpack-for-pytorch — BackPACK: Packing more into backprop
• backstrip — backstrip adds color-coordinated fill behind matplotlib boxplots.
• backtestbuddy — A flexible backtesting framework for trading and betting strategies
• badfiles — A malicious file detection engine written with Python and Yara.
• baec — Python SDK to create Model Generators and add them into the BAEC platform.
• bagofchips — All that and a bag of
• baikalctl — Top-level package for baikalctl.