Delightfully easy-to-use open-source tools that make machine learning easier and more accessible
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The gradio-app organization on GitHub hosts a wide range of public repositories that focus on making machine learning more accessible. Their primary programming languages include Python, Jupyter Notebook, JavaScript, Svelte, Dart, and TypeScript. Notable projects such as gradio and fastrtc contribute to real-time communication and app development in the ML space.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
The python library for real-time communication
A lightweight, local-first, and 🆓 experiment tracking library from Hugging Face 🤗
Chain apps and models to build robust AI workflows 🤗
links and status of cool gradio demos
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TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques
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A Deep Learning based project for colorizing and restoring old images (and video!)
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nbgradio converts Jupyter notebooks with gradio code into static websites with live gradio apps!
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Example repo demonstrating how to test Gradio applications using Playwright UI testing
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Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]
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GPT-2 on Gradio
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StyleGAN2 - Official TensorFlow Implementation with practical improvements
Real time emotion recognition
Creates a GradioHub interface for Echonet-Dynamic Model
This project reimplements from scratch the OpenPose paper (Cao et al,2018), Using Tensorflow 2.1 and optional TPU powered training.
Skin cancer detection project
This simple repo shows how easy it is to deploy a Gradio Hosted interface.
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github helpers for gradio repos!
SQuAD Question Answering Using BERT, PyTorch
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
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A sample of custom components!
Find the smollest viable language model for your task
Implementation of Hot Dog or not app from Silicon Valley (CNN to identify if the given picture is a hot dog or not)
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An extension of the Hugging Face CLI for interacting with Gradio Spaces and Apps
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🏖 Keras Implementation of Painting outside the box
Interpretable model of sub-cellular RNA localization.
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Magenta: Music and Art Generation with Machine Intelligence
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blm.stanford.edu
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A flexible source separation library in Python
NG browse
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The gradio repo frozen at the final release of gradio-lite
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DALL·E Mini - Generate images from a text prompt
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StyleGAN Encoder - converts real images to latent space
I decide to sync up this repo and self-critical.pytorch. (The old master is in old master branch for archive)
An experimental tool for collaborating on data with your agent
Performance benchmarking tool for Gradio apps
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Deep Magic Mirror with StarGAN
What would you say if I told you there is a app on the market that tell you if you have a hotdog or not a hotdog.
An implementation of https://dmitryulyanov.github.io/deep_image_prior for tensorflow.
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NUBIA (NeUral Based Interchangeability Assessor) is a new SoTA evaluation metric for text generation
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
A port of YuvalNirkin/face_segmentation repo to keras.
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Static home from GradioMD
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Gradio-app builds tools that enhance machine learning accessibility. Their notable repositories include gradio for app development and fastrtc for real-time communication, reflecting their focus on supporting developers in the ML community.
Gradio-app primarily uses Python, Jupyter Notebook, JavaScript, Svelte, Dart, and TypeScript in their projects. This diverse set of languages allows them to build a variety of applications for machine learning.
Yes, all repositories under the gradio-app organization are public. This transparency allows developers and researchers to access their tools and contribute to ongoing projects in the machine learning field.
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