Projects
- gradescope-utils — Utilities for building Gradescope autograders
- GradescopeBase — Utilities for building Gradescope autograders
- gradescopecalendar — Unofficial calendar integration for Gradescope
- gradescrape — requests-based library to automatically provision assignments on Gradescope
- gradesucope — Libraries that make it easier to write nice Gradescope autograders at UC.
- gradesystemprotyai — TYAI Web Update Package
- gradflow — A simple, scalable and efficient deep learning framework.
- gradgen — Gradient computation with AD for optimal control
- gradgpad — gradgpad
- GraDiAn — A grammatical distribution analyser for NLP datasets.
- gradiator — turn covariance matrices into brain gradients
- gradient — Paperspace Python
- gradient-accumulator — Package for gradient accumulation in TensorFlow
- gradient-ascent — Gradient Ascent - Pytorch
- gradient-centralization-tf — Implement Gradient Centralization in TensorFlow
- gradient-cli — A CLI for maxludden/maxgradient
- gradient-compression — gradient compression algorithms with PyTorch
- gradient-descent-py — A gradient descent to python
- gradient-descent-the-ultimate-optimizer — Code for paper, Gradient Descent: The Ultimate Optimizer
- gradient-equilibrum — Gradient Equillibrum - Pytorch
- gradient-figlet — Prints beautiful gradient figlets to the terminal
- gradient-free-objective-functions — A collection and visualization of black-box objective functions
- gradient-free-optimizers — no summary
- gradient-generator — Generate random but beautiful gradients in a super simple way.
- gradient-haystack — no summary
- gradient-labs — Python bindings for the Gradient Labs API
- gradient-metrics — Neural Network Gradient Metrics with PyTorch
- gradient-sdk — Gradient ML SDK
- gradient-statsd — Wrapper around the DogStatsd client
- gradient-utils — This is an SDK for performing Machine Learning with Gradient.
- gradientai — Gradient AI API
- gradientchat — Bot Client for GradientChat
- gradientcobra — Python implementation for Gradient COBRA by S. Has (2023) with other aggregation and kernel methods.
- GradientDescent — Makes learning gradient descent easy
- GradientDR — A package for evaluating dimensionality reduction algorithms
- gradienter — A package for gradients
- gradiently — no summary
- gradientone — Gateway client for GradientOne
- gradients — Gradient Checker for Custom built PyTorch Models
- gradify — A python library to generate CSS gradient from an image
- GrADim — A package for auto-differentiation
- grading-application — Short answer grading assistant with active learning support
- grading-tools — Tools for evaluating student submissions.
- grading-utils — A basic collection of tools to aid in the process of grading Python assignments while also attempting to reduce cheating through various methods.
- gradinit — Pytorch implementation of the gradient-based initialization
- gradio — Python library for easily interacting with trained machine learning models
- 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-client — Python library for easily interacting with trained machine learning models
- 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-frp — 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-grcalendar — Python library for easily interacting with trained machine learning models
- 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-imageslider — A Gradio component for comparing two images. This component can be used in several ways: - as a **unified input / output** where users will upload a single image and an inference function will generate an image it can be compared to (see demo), - as a **manual upload input** allowing users to compare two of their own images (which can then be passed along elsewhere, e.g. to a model), - as **static output component** allowing users to compare two images generated by an inference function.
- 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-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-mycomponent3 — test
- gradio-mymodel3d — Python library for easily interacting with trained machine learning models
- gradio-notebook — Notebook for interacting with models in AIConfig
- gradio-offline — no summary
- gradio-orz — no summary
- gradio-pannellum — Python library for easily interacting with trained machine learning models