Reverse Dependencies of wheel

The following projects have a declared dependency on wheel:

• autodistill-blip2 — no summary
• autodistill-chameleon — no summary
• autodistill-chat-gpt — no summary
• autodistill-clip — CLIP module for use with Autodistill
• autodistill-coca — no summary
• autodistill-codet — CoDet model for use with Autodistill
• autodistill-deta — no summary
• autodistill-detic — DETIC module for use with Autodistill
• autodistill-detr — DETR module for use with Autodistill
• autodistill-dino — no summary
• autodistill-dinov2 — DINOv2 module for use with Autodistill
• autodistill-efficient-yolo-world — EfficientSAM + YOLO-World base model for use with Autodistill
• autodistill-efficientnet — no summary
• autodistill-efficientsam — EfficientSAM model for use with Autodistill
• autodistill-eva-clip — EvaClip module for use with Autodistill
• autodistill-fastsam — FastSAM module for use with Autodistill
• autodistill-fastvit — FastViT model for use with Autodistill
• autodistill-flamingo — no summary
• autodistill-flan — no summary
• autodistill-gcp-vision — Autodistill Google Cloud Vision module for use in training a custom, fine-tuned model.
• autodistill-gemini — Model for use with Autodistill
• autodistill-glip — no summary
• autodistill-gpt-4v — GPT-4V 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-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-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-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-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
• autogluon.bench — A benchmarking tool for AutoML
• automatise — Automatise: A Multiple Aspect Trajectory Data Mining Tool Library
• automatize — Automatize: A Multiple Aspect Trajectory Data Mining Tool Library
• automl-tools — automl_tools
• AutoMLpy — This package is an automatic machine learning module whose function is to optimize the hyper-parameters of an automatic learning model. Code at: https://github.com/JeremieGince/AutoMLpy .
• AutoReqs — A better way to get the requirements.txt automatically
• autoresearcher — Automating scientic workflows with AI
• autotds — Generate Towards Data Science (TDS) quality articles
• autottlcache — Time-to-live (TTL) cache with auto-expiry
• autumn8 — Utilities to export models to the autumn8.ai service
• avrex — AssociationVoice reports exporter
• avro-to-python-etp — Light tool for compiling avro schema files (.avsc) to python classes making using avro schemata easy.
• avrofastapi — Automatic avro wire protocol support for FastAPI
• avs-client — Python Client for Alexa Voice Service (AVS)
• aw-cli — guarda anime dal terminale e molto altro!
• awesome-panel-cli — A CLI tool to speed up your workflow when developing Panel applications
• awkupy — A simple Python interface and IPython/Jupyter magic for AWK
• aws-codeseeder — A framework utilizing AWS CodeBuild to manage remote code execution.
• aws-consoler — A utility to convert your AWS CLI credentials into AWS console access.
• aws-lambda-builders — Python library to compile, build & package AWS Lambda functions for several runtimes & frameworks.
• aws-lambda-python-packager — Description
• aws-log-parser — Parse AWS CloudFront and LoadBalancer logs into Python dataclasses
• aws-longer — A program to create deterministic zip files.
• aws-quota-checker — A CLI tool that checks your AWS quota utilization
• aws-stepfunction — Yet the most developer friendly orchestration tool on AWS.
• awskit — no summary
• axisvm — A Python package for AxisVM.
• ayolo — PyQt5 based annotation tool for yolov4 datasets, providing fast and easy ways of annotating.
• ayt-api — An Asynchronous, Object oriented python library for the YouTube api
• azdev — Microsoft Azure CLI Developer Tools
• azfiles — Work with file shares in azure via REST API
• azup — Work with azure cloud using `az` cli
• azure-ai-mlmonitoring — Azure Machine Learning Model Monitoring SDK V2