Reverse Dependencies of twine
The following projects have a declared dependency on twine:
- gpx2exif — Simple command-line tool to add GPS info from a GPX file to EXIF tags in images
- gpytorch — An implementation of Gaussian Processes in Pytorch
- gradient — Paperspace Python
- gradient-centralization-tf — Implement Gradient Centralization in TensorFlow
- gradio-annotatedaudio — audio component with speaker annotations
- gradio-awsbr-mmchatbot — This component enables multi-modal input for the Anthropic Claude v3 suite of models available from Amazon Bedrock
- gradio-bettertextbox — A better input text box for interacting with multi modal models
- gradio-blurhashimage — Python library for easily interacting with trained machine learning models
- gradio-box-promptable-image — A webcam-compatible Gradio input image component enabling prompting with bounding boxes.
- gradio-calendar — Gradio component for selecting dates with a calendar 📆
- gradio-clickable-arrow-dropdown — Dropdown component where clicking arrow on the side displays dropdown options
- gradio-cofoldinginput — Component to enter protein and DNA sequences + small molecules for cofolding
- gradio-coolimage — Python library for easily interacting with trained machine learning models
- gradio-datepicker — Python library for easily interacting with trained machine learning models
- gradio-demotest — foo component
- gradio-devchatbot — Python library for easily interacting with trained machine learning models
- gradio-doctestaudio — Python library for easily interacting with trained machine learning models
- gradio-doctestcode — Python library for easily interacting with trained machine learning models
- gradio-doctestvideo — Python library for easily interacting with trained machine learning models
- gradio-editor3d — Bringing 3D design and editing capabilities to Gradio
- gradio-fabrie-textbox — fabrie_textbox
- gradio-folium — Display Interactive Maps Created with Folium
- gradio-foliumtest — Python library for easily interacting with trained machine learning models
- gradio-freddytb — Python library for easily interacting with trained machine learning models
- gradio-gptchatbot — Python library for easily interacting with trained machine learning models
- gradio-gradioworkbook — Workbook for interacting with models in AIConfig
- gradio-gradioworkbook-ap — Notebook for interacting with models in AIConfig
- gradio-grid — Grid is a layout element within Blocks that renders all children in a two dimensional grid system.
- gradio-hdrimage — Component to load and display HDR images
- gradio-highlightedcode — A variant of the Code component that supports highlighting lines of code.
- gradio-highlightedtextbox — Editable Gradio textarea supporting highlighting
- gradio-highlightedtextlabeldefault — Modify the default label when selecting a word in the interactive HighlightedText component.
- gradio-huggingfacehub-search — Gradio component for searching Hugging Face Hub models, datasets, Spaces, and more
- gradio-iframe — Experimental empowered iFrame component based on existing HTML gradio component.
- gradio-image-annotation — A Gradio component that can be used to annotate images with bounding boxes.
- gradio-image-annotator — A component that allows you to annotate an image with points and boxes.
- gradio-image-prompter — A gradio component to upload images and process point/box prompts.
- gradio-imagefeed — A vertical feed of images which gets updated as a generater yields a new image.
- gradio-imagemask — Simplified ImageEditor with disabled overlay of brush-options.
- gradio-leaderboard — Super fast , batteries included Leaderboard component ⚡️
- gradio-legacyimage — Python library for easily interacting with trained machine learning models
- gradio-log — A Log component for Gradio which can easily show some log file in the interface.
- gradio-mindbox — 成思维导图组件
- gradio-modal — A popup modal component
- gradio-model3dgs — Python library for easily interacting with trained machine learning models
- gradio-model4dgs — Python library for easily interacting with trained machine learning models
- gradio-molecule2d — Input chemical molecules as smiles strings and visualize them
- gradio-molecule3d — Molecule3D custom component to visualize pdb or sdf files using 3Dmol.js
- gradio-molgallery2d — A Gradio component designed for displaying a gallery of 2D molecular structures.
- gradio-molgallery3d — A Gradio component designed for displaying an interactive gallery of 3D molecular structures.
- gradio-multimodalchatbot — Python library for easily interacting with trained machine learning models
- gradio-mycomponent — hello world component
- gradio-mycomponent3 — test
- gradio-mymodel3d — Python library for easily interacting with trained machine learning models
- gradio-notebook — Notebook for interacting with models in AIConfig
- gradio-pannellum — Python library for easily interacting with trained machine learning models
- gradio-paramviewer — A gradio component that renders a pretty table for python or javascript function or method parameters.
- gradio-pdf — Easily display PDFs in Gradio
- gradio-point-promptable-image — A webcam-compatible Gradio input component enabling point-based prompting.
- gradio-promptweighting — Simple component for creating prompt weighting for real-time generation.
- gradio-rangeslider — 🛝 Slider component for selecting a range of values
- gradio-rich-textbox — Gradio custom component for rich text input
- gradio-sbmp-promptable-image — A webcam-compatible Gradio input image component enabling prompting with the most recently drawn bounding box and multiple points.
- gradio-test2 — This is a test component
- gradio-test3 — This is a test component.
- gradio-testannimage — Python library for easily interacting with trained machine learning models
- gradio-testaudio — Test audio component
- gradio-testcomponent — Python library for easily interacting with trained machine learning models
- gradio-testfallback — Python library for easily interacting with trained machine learning models
- gradio-testtextbox9 — Python library for easily interacting with trained machine learning models
- gradio-textwithattachments — Python library for easily interacting with trained machine learning models
- gradio-toggle — A toggle component that represents a boolean value, allowing users to switch between True and False states. Can function both as an input, to capture user interaction, and as an output, to display a boolean state.
- gradio-unifiedaudio — Python library for easily interacting with trained machine learning models
- gradio-url-buttons — Gradio custom compnent for adding URL buttons
- gradio-variableslider — Python library for easily interacting with trained machine learning models
- gradio-videogallery — Python library for easily interacting with trained machine learning models
- gradio-yolov8-det — 基于 Gradio 的 YOLOv8 通用计算机视觉演示系统
- gradipy — A Lightweight Neural Network Library only using NumPy with Pytorch-like API
- grahamcracker — generate marshmallow schemas from dataclasses
- grakn-kglib — A Machine Learning Library for the Grakn knowledge graph.
- granturismo-stats — Retrieve statistics for Gran Turismo Sport
- graph-pes — Potential Energy Surfaces on Graphs
- graphkb — python adapter for interacting with the GraphKB API
- graphml — TBD
- graphql-example — A simple graphql server
- graphtage — A utility to diff tree-like files such as JSON and XML.
- graphviper — Astro Visibility and Image Parallel Execution Reduction
- graphviz — Simple Python interface for Graphviz
- graphviz-hornet — no summary
- grasptext — GReedy Augmented Sequential Patterns: an algorithm for extracting patterns from text data
- graylint — Run linters and show only new errors compared to an older commit
- great-components — Shared components library for Great services.
- greendeploy-django-ltree — Django app to support ltree postgres extension
- greenguard — AutoML for Renewable Energy Industries.
- greensms — GREENSMS API: SMS, Call, Voice, VK, WhatsApp, Viber, HLR, Pay
- greetuvm — Say hello to someone (or thing)
- Grevling — A batch runner tool
- grg-sphinx-theme — A GRG sphinx theme to use across GRG projects
- grid-tariff-calculator — Library to calculate the grid tariffs in Norway.
- gridsculpt — no summary