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!

🖊️ 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

📷 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

🔬 Science

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

💊 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

🔢 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

🤗 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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Gradio
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GitHub Repository
Code for "LoRA: Low-Rank Adaptation of Large Language Models"

LoRA: Low-Rank Adaptation of Large Language Models This repo contains the implementation of LoRA in GPT-2 and steps to replicate the results in our re

Microsoft 394 Jan 08, 2023
Cossim - Sharpened Cosine Distance implementation in PyTorch

Sharpened Cosine Distance PyTorch implementation of the Sharpened Cosine Distanc

Istvan Fehervari 10 Mar 22, 2022
Reverse engineer your pytorch vision models, in style

🔍 Rover Reverse engineer your CNNs, in style Rover will help you break down your CNN and visualize the features from within the model. No need to wri

Mayukh Deb 32 Sep 24, 2022
Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.

semantic-segmentation-tensorflow This is a Tensorflow implementation of semantic segmentation models on MIT ADE20K scene parsing dataset and Cityscape

HsuanKung Yang 83 Oct 13, 2022
Face-Recognition-based-Attendance-System - An implementation of Attendance System in python.

Face-Recognition-based-Attendance-System A real time implementation of Attendance System in python. Pre-requisites To understand the implentation of F

Muhammad Zain Ul Haque 1 Dec 31, 2021
An implementation of quantum convolutional neural network with MindQuantum. Huawei, classifying MNIST dataset

关于实现的一点说明 山东大学 2020级 苏博南 www.subonan.com 文件说明 tools.py 这里面主要有两个函数： resize(a, lenb) 这其实是我找同学写的一个小算法hhh。给出一个$28\times 28$的方阵a，返回一个$lenb\times lenb$的方阵。因

ぼっけなす 2 Aug 29, 2022
This repository includes the official project for the paper: TransMix: Attend to Mix for Vision Transformers.

TransMix: Attend to Mix for Vision Transformers This repository includes the official project for the paper: TransMix: Attend to Mix for Vision Transf

Jie-Neng Chen 130 Jan 01, 2023
PyTorch implementation of the wavelet analysis from Torrence & Compo

Continuous Wavelet Transforms in PyTorch This is a PyTorch implementation for the wavelet analysis outlined in Torrence and Compo (BAMS, 1998). The co

Tom Runia 262 Dec 21, 2022
NICE-GAN — Official PyTorch Implementation Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

NICE-GAN-pytorch - Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Runfa Chen 208 Nov 25, 2022
Pytorch code for our paper Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains)

Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains (ICLR'2022) This is the Pytorch code for our paper Beyond ImageNet

Alibaba-AAIG 37 Nov 23, 2022
PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper)

Value Iteration Networks in PyTorch Tamar, A., Wu, Y., Thomas, G., Levine, S., and Abbeel, P. Value Iteration Networks. Neural Information Processing

LEI TAI 75 Nov 24, 2022
[3DV 2021] Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation

Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation This is the official implementation for the method described in Ch

Jiaxing Yan 27 Dec 30, 2022
3D AffordanceNet is a 3D point cloud benchmark consisting of 23k shapes from 23 semantic object categories, annotated with 56k affordance annotations and covering 18 visual affordance categories.

3D AffordanceNet This repository is the official experiment implementation of 3D AffordanceNet benchmark. 3D AffordanceNet is a 3D point cloud benchma

49 Dec 01, 2022
A data-driven maritime port simulator

PySeidon - A Data-Driven Maritime Port Simulator 🌊 Extendable and modular software for maritime port simulation. This software uses entity-component

6 Apr 10, 2022
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

Outlier Exposure This repository contains the essential code for the paper Deep Anomaly Detection with Outlier Exposure (ICLR 2019). Requires Python 3

Dan Hendrycks 464 Dec 27, 2022
Official implementation for (Refine Myself by Teaching Myself : Feature Refinement via Self-Knowledge Distillation, CVPR-2021)

FRSKD Official implementation for Refine Myself by Teaching Myself : Feature Refinement via Self-Knowledge Distillation (CVPR-2021) Requirements Pytho

75 Dec 28, 2022
Virtual hand gesture mouse using a webcam

NonMouse 日本語のREADMEはこちら This is an application that allows you to use your hand itself as a mouse. The program uses a web camera to recognize your han

Yuki Takeyama 55 Jan 01, 2023
Image morphing without reference points by applying warp maps and optimizing over them.

Differentiable Morphing Image morphing without reference points by applying warp maps and optimizing over them. Differentiable Morphing is machine lea

Alex K 380 Dec 19, 2022
Build upon neural radiance fields to create a scene-specific implicit 3D semantic representation, Semantic-NeRF

Semantic-NeRF: Semantic Neural Radiance Fields Project Page | Video | Paper | Data In-Place Scene Labelling and Understanding with Implicit Scene Repr

Shuaifeng Zhi 243 Jan 07, 2023
Credit fraud detection in Python using a Jupyter Notebook

Credit-Fraud-Detection - Credit fraud detection in Python using a Jupyter Notebook , using three classification models (Random Forest, Gaussian Naive Bayes, Logistic Regression) from the sklearn libr

Ali Akram 4 Dec 28, 2021