Reverse Dependencies of twine
The following projects have a declared dependency on twine:
- 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
- autodl — no summary
- autoetl — Wire up APIs with databases in minutes. Ingest, persist, enrich, merge and serve data automagically.
- autoevals — Universal library for evaluating AI models
- autogen — Automate development tasks
- AutoGitSemVer — Calculates a semantic version based on git changes.
- autogram — An easily extensible telegram API wrapper
- automagically — Python SDK für Automagically.
- AutoMLApp — An automated machine learning application designed for efficient model training, evaluation, and hyperparameter tuning.
- automlex — Say hello!
- autoMLF — autoML for training and inference Deep Learning model
- autonomy-dev — A collection of tooling to enable open source development of autonomy tools
- autopew — Automating target selection for laser ablation.
- autopub — Automatic package release upon pull request merge
- autora-core — Autonomous Research Assistant (AutoRA) is a framework for automating steps of the empirical research process.
- auxilium — A Python project for an automated test and deploy toolkit - 100% reusable.
- avicenna — AVICENNA: Semantic Debugging
- avidaq — controls for napari and micromanger
- avrofastapi — Automatic avro wire protocol support for FastAPI
- avs-client — Python Client for Alexa Voice Service (AVS)
- Awa2 — Simple Setup
- awesome-panel-cli — A CLI tool to speed up your workflow when developing Panel applications
- awflow — Reusable acyclic workflows in Python. Execute code on HPC systems as if you executed them on your laptop!
- 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-ec2-tool — AWS EC2 tool
- aws-elemental-python-client — Python Client for manage AWS Elemental Appliances (Delta, Live, Conductor)
- aws-excom — Wrapper for AWS ECS Execute Command
- aws-log-parser — Parse AWS CloudFront and LoadBalancer logs into Python dataclasses
- aws-longer — A program to create deterministic zip files.
- aws-orga-deployer — Deploy infrastructure-as-code at the scale of an AWS organization
- aws_s3sync — A utility to sync data to/from AWS S3
- aws-security-test — Test automation to determine adherence to pre-defined set of security recommendations
- aws-sm — A Python wrapper around the AWS Secrets Manager using Boto3
- aws-ssm-tool — AWS SSM tool
- aws-sso-cli — A program to simplify logging in and setting credentials using AWS SSO.
- aws-stepfunction — Yet the most developer friendly orchestration tool on AWS.
- awscdk-minecraft — AWS CDK construct for hosting a Minecraft server Platform-as-a-Service.
- awscm — a module for easy monitoring of aws jobs and services.
- awskit — no summary
- azblob — Download Azure blobs.
- 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-requests — Requests wrapper for Azure DevOps
- azureml-acft-accelerator — Contains the acft accelerator package used in script to build the azureml components.
- azureml-acft-contrib-hf-diffusion — Contains the acft nlp-hf-contrib package used in script to build azureml components.
- azureml-acft-contrib-hf-nlp — Contains the acft nlp-hf-contrib package used in script to build azureml components.
- azureml-acft-multimodal-components — Contains the acft multimodal-contrib package used in script to build azureml components.
- azurify — Access to Azure Storage/Secrets/Keyvault for Shopify Apps built with Python.
- b-fade — B-FADE: Bayesian FAtigue moDel Estimator
- b3d — Boto3 utility library that supports deletion of collections of AWS resources (such as temporary resources created during unit tests).
- b3q — Boto3 utility library that supports parameter-driven and predicate-driven retrieval of collections of AWS resources.
- ba-abydos — Fork of the Abydos NLP/IR library
- BABACHI — no summary
- bacalhau-sdk — Compute over Data framework for public, transparent, and optionally verifiable computation using IPFS & Filecoin.
- backend.ai — Lablup Backend.AI Meta-package
- backend.ai-accelerator-cuda — Backend.AI Accelerator Plugin for CUDA