links and status of cool gradio demos

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Deep Learningawesome-demos
Overview

awesome-demos

This is a list of some wonderful demos & applications built with Gradio. Here's how to contribute yours!

πŸ–ŠοΈ Natural language processing

Demo name (link to demo) input type(s) output type(s) status badge
ruDALL-E Text Image demo status
Mandarin Text-to-Speech (TTS) Text Audio demo status
Multilingual Summarization model (MLSUM) Radio, Text Text demo status
News Summarizer Text Text demo status
KoGPT Text Text demo status
Sentiment Histogram For Turkish Text Image demo status
GPT-J-6B Text Text demo status
Adverse Drug Reaction Xtractor Text HTML demo status
Neural Search Engine Text Text demo status
E-Coicop-food-classifier Text Text demo status
twitter_emotions Text Label demo status
Language Detector Text Label demo status
Question Answering in English, Spanish and Basque Text Text demo status
Table Question Answering (TAPAS) Text, CSV JSON, Dataframe demo status
Song Genre Predictor Text Label demo status

πŸ“· Computer vision

Demo name (link to demo) input type(s) output type(s) status badge
ruDALL-E Text Image demo status
Animeganv2 Image Image demo status
Bytetrack Image Image demo status
Anime Face Detector Image, Slider Image demo status
super-image Image, Radio, Dropdown Image demo status
Pet Breed Classifier Image Label demo status
LayoutLMv2 Image Image demo status
Yolov5 Image Image demo status
VQGAN + CLIP Text, Image, Slider, Number Image, Video demo status
CLIP Guided Diffusion Text, Image, Slider, Number Image, Video demo status
BlendGAN Image, Slider Image demo status
SAHI + YOLOv5 Image, Number, Dropdown, Checkbox Image demo status
Pose Estimation for Humans, Vehicles and Animals Image, Radio, Checkbox Image demo status
Convolutional Hough Matching Networks Image, Slider Image demo status
CRAFT-OCR Image Image, Text demo status
AnimeGANv2 for Videos Video, Slider Video demo status
CLIP Image Search Image, Radio, Text Image demo status

πŸ”¬ Science

Demo name (link to demo) input type(s) output type(s) status badge
MolDesigner Text, Image, Dropdown Text demo status

πŸ’Š Medicine

Demo name (link to demo) input type(s) output type(s) status badge
Echocardiogram-Segmentation Image Image demo status
Adverse Drug Reaction Xtractor Text HTML demo status
Sartorius Cell Instance Segmentation (detectron2) Image Image demo status
Cell Instance Segmentation (MMDetection) Image Image demo status

🎡 Audio processing

Demo name (link to demo) input type(s) output type(s) status badge
Mandarin Text-to-Speech (TTS) Text Audio demo status
Demucs Audio Audio demo status
XLS-R 2B 22-to-16 Speech Translation Audio, Dropdown Text demo status
YourTTS Audio, Dropdown, Textbox Audio demo status

πŸ”’ Math

Demo name (link to demo) input type(s) output type(s) status badge
GP Posterior Approximation with Transformers Dataframe, Radio Text, Image demo status

πŸ€— Fun

Demo name (link to demo) input type(s) output type(s) status badge
Animeganv2 Image Image demo status
AnimeGANv2 for Videos Video, Slider Video demo status
Anime Face Detector Image, Slider Image demo status
Song Genre Predictor Text Label demo status
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Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.

Translated in πŸ‡°πŸ‡· Korean/ Ludwig is a toolbox that allows users to train and test deep learning models without the need to write code. It is built on

Ludwig 8.7k Dec 31, 2022
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

SimGNN β €β €β € A PyTorch implementation of SimGNN: A Neural Network Approach to Fast Graph Similarity Computation (WSDM 2019). Abstract Graph similarity s

Benedek Rozemberczki 534 Dec 25, 2022
TANL: Structured Prediction as Translation between Augmented Natural Languages

TANL: Structured Prediction as Translation between Augmented Natural Languages Code for the paper "Structured Prediction as Translation between Augmen

98 Dec 15, 2022
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Lucas coded by linux shell λͺ©μ°¨ Mac버전 CookieCutter (autoenv) 1.How to Install autoenv 2.폴더 μ§„μž… μ‹œ, activate κ΅¬ν˜„ν•˜κΈ° 3.폴더 νƒˆμΆœ μ‹œ, deactivate κ΅¬ν˜„ν•˜κΈ° 4.Alias μ„€μ •ν•˜κΈ° 5

ello 3 Feb 21, 2022
A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks

Spiking Neural Network training with EventProp This is an unofficial PyTorch implemenation of EventProp, a method to compute exact gradients for Spiki

Pedro Savarese 35 Jul 29, 2022
Codebase for the Summary Loop paper at ACL2020

Summary Loop This repository contains the code for ACL2020 paper: The Summary Loop: Learning to Write Abstractive Summaries Without Examples. Training

Canny Lab @ The University of California, Berkeley 44 Nov 04, 2022
Evaluation Pipeline for our ECCV2020: Journey Towards Tiny Perceptual Super-Resolution.

Journey Towards Tiny Perceptual Super-Resolution Test code for our ECCV2020 paper: https://arxiv.org/abs/2007.04356 Our x4 upscaling pre-trained model

Royson 6 Mar 30, 2022
Official repo for our 3DV 2021 paper "Monocular 3D Reconstruction of Interacting Hands via Collision-Aware Factorized Refinements".

Monocular 3D Reconstruction of Interacting Hands via Collision-Aware Factorized Refinements Yu Rong, Jingbo Wang, Ziwei Liu, Chen Change Loy Paper. Pr

Yu Rong 41 Dec 13, 2022
Python package to generate image embeddings with CLIP without PyTorch/TensorFlow

imgbeddings A Python package to generate embedding vectors from images, using OpenAI's robust CLIP model via Hugging Face transformers. These image em

Max Woolf 81 Jan 04, 2023
Black-Box-Tuning - Black-Box Tuning for Language-Model-as-a-Service

Black-Box-Tuning Source code for paper "Black-Box Tuning for Language-Model-as-a-Service". Being busy recently, the code in this repo and this tutoria

Tianxiang Sun 149 Jan 04, 2023
Code of Classification Saliency-Based Rule for Visible and Infrared Image Fusion

CSF Code of Classification Saliency-Based Rule for Visible and Infrared Image Fusion Tips: For testing: CUDA_VISIBLE_DEVICES=0 python main.py For trai

Han Xu 14 Oct 31, 2022
DiffStride: Learning strides in convolutional neural networks

DiffStride is a pooling layer with learnable strides. Unlike strided convolutions, average pooling or max-pooling that require cross-validating stride values at each layer, DiffStride can be initiali

Google Research 113 Dec 13, 2022
10th place solution for Google Smartphone Decimeter Challenge at kaggle.

Under refactoring 10th place solution for Google Smartphone Decimeter Challenge at kaggle. Google Smartphone Decimeter Challenge Global Navigation Sat

12 Oct 25, 2022
Face Synthetics dataset is a collection of diverse synthetic face images with ground truth labels.

The Face Synthetics dataset Face Synthetics dataset is a collection of diverse synthetic face images with ground truth labels. It was introduced in ou

Microsoft 608 Jan 02, 2023
PPO is a very popular Reinforcement Learning algorithm at present.

PPO is a very popular Reinforcement Learning algorithm at present. OpenAI takes PPO as the current baseline algorithm. We use the PPO algorithm to train a policy to give the best action in any situat

Rosefintech 11 Aug 23, 2021
A minimal TPU compatible Jax implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

NeRF Minimal Jax implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. Result of Tiny-NeRF RGB Depth

Soumik Rakshit 11 Jul 24, 2022
Image-to-Image Translation in PyTorch

CycleGAN and pix2pix in PyTorch New: Please check out contrastive-unpaired-translation (CUT), our new unpaired image-to-image translation model that e

Jun-Yan Zhu 19k Jan 07, 2023
Metric learning algorithms in Python

metric-learn: Metric Learning in Python metric-learn contains efficient Python implementations of several popular supervised and weakly-supervised met

1.3k Jan 02, 2023
Code and data (Incidents Dataset) for ECCV 2020 Paper "Detecting natural disasters, damage, and incidents in the wild".

Incidents Dataset See the following pages for more details: Project page: IncidentsDataset.csail.mit.edu. ECCV 2020 Paper "Detecting natural disasters

Ethan Weber 67 Dec 27, 2022
PanopticBEV - Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images

Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images This r

63 Dec 16, 2022