Reverse Dependencies of flake8

The following projects have a declared dependency on flake8:

• autodistill-gpt-4v — GPT-4V model for use with Autodistill
• autodistill-gpt-text — Model for use with Autodistill
• autodistill-gpt4 — no summary
• autodistill-gpt5 — no summary
• autodistill-grounded-edgesam — Model for use with Autodistill
• autodistill-grounded-sam — Automatically distill large foundational models into smaller, in-domain models for deployment
• autodistill-grounded-sam-2 — Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.
• 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
• autogen-toolsmith — AutoGen Toolsmith: Automatically generate tools for AutoGen agents
• autogluon-contrib-nlp — MXNet GluonNLP Toolkit (DeepNumpy Version)
• autogluon.core — Fast and Accurate ML in 3 Lines of Code
• autograder-py — The Python interface for the autograding server.
• autogs-core — AutoGS Core
• autohooks-plugin-flake8 — An autohooks plugin for python code linting via flake8.
• autoio-base — no summary
• autokeras — AutoML for deep learning
• automagically — Python SDK für Automagically.
• Automate-DB — A python package for connecting with database.
• automatingdatabase — A python package for connecting with database.
• automation-mgd — A python package for connecting with database.
• automation-mongodb — A python package for connecting with database.
• automation-of-mongodb — A python package for connecting with database.
• automation-sniper — Tool to convert Open API / Swagger specifications to automation framework
• automationdb — A python package for connecting with database.
• automationfordb — A python package for connecting with a database
• automatix — Automation wrapper for bash and python commands
• automatix-cmd — Automation wrapper for bash and python commands
• automaton-engine — Simple, Event-driven Automation in Python using Elasticsearch data to inform automation decisions
• automl-utils — Facilitating reproducible AutoML research.
• automongodatabase — A python package for connecting with database.
• automua — Mail client autoconfiguration service
• autonav — Research software for navigating a UAV in indoor environments
• autonicer — A program that retrieves NICER observational data sets and performs a default data reduction process on the NICER observational data
• autonlp — HuggingFace/AutoNLP
• autonoma — AI-powered autonomous code modification and analysis
• autonomous-learning-library — A library for building reinforcement learning agents in Pytorch
• autoqasm — Python-native programming library for developing quantum programs
• autora-core — Autonomous Research Assistant (AutoRA) is a framework for automating steps of the empirical research process.
• autorad — Radiomics-related modules for extraction and experimenting
• autorec — AutoRec for automated recommendation
• autoreject — Automated rejection and repair of epochs in M/EEG.
• autoschema — Package which provides the ability to automatically convert from XML, JSON, and YAML to a schema specified by a dataclass hierarchy
• autosnapmanager — Manager who integrates screenshot matching, click operations, and other operations.
• autotex — no summary
• autotrain-advanced — no summary
• autotrain-llm — autotrain_llm
• autotui — "quickly create UIs to interactively prompt, validate, and persist python objects to disk (JSON/YAML) and back using type hints"
• auxilium — A Python project for an automated test and deploy toolkit - 100% reusable.
• 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.
• avoca — @voc@: Quality assessement of measurement data
• avro-compat — A library-compatibility layer for avro parsers
• avro-validator — Pure python avro schema validator
• avroc — A library for fast Avro serialization and deserialization
• avs-client — Python Client for Alexa Voice Service (AVS)
• awkupy — A simple Python interface and IPython/Jupyter magic for AWK