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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GitHub Repository
PyTorch implementations of deep reinforcement learning algorithms and environments

Deep Reinforcement Learning Algorithms with PyTorch This repository contains PyTorch implementations of deep reinforcement learning algorithms and env

Petros Christodoulou 4.7k Jan 04, 2023
Social Distancing Detector

Computer vision has opened up a lot of opportunities to explore into AI domain that were earlier highly limited. Here is an application of haarcascade classifier and OpenCV to develop a social distan

Ashish Pandey 2 Jul 18, 2022
Car Parking Tracker Using OpenCv

Car Parking Vacancy Tracker Using OpenCv I used basic image processing methods i

Adwait Kelkar 30 Dec 03, 2022
Blind visual quality assessment on 360° Video based on progressive learning

Blind visual quality assessment on omnidirectional or 360 video (ProVQA) Blind VQA for 360° Video via Progressively Learning from Pixels, Frames and V

5 Jan 06, 2023
PyTorch-lightning implementation of the ESFW module proposed in our paper Edge-Selective Feature Weaving for Point Cloud Matching

Edge-Selective Feature Weaving for Point Cloud Matching This repository contains a PyTorch-lightning implementation of the ESFW module proposed in our

5 Feb 14, 2022
A unet implementation for Image semantic segmentation

Unet-pytorch a unet implementation for Image semantic segmentation 参考网上的Unet做分割的代码，做了一个针对kaggle地盐识别的，请去以下地址获取数据集: https://www.kaggle.com/c/tgs-salt-id

Rabbit 3 Jun 29, 2022
Implementation based on Paper - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

Implementation based on Paper - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

HamasKhan 3 Jul 08, 2022
The NEOSSat is a dual-mission microsatellite designed to detect potentially hazardous Earth-orbit-crossing asteroids and track objects that reside in deep space

The NEOSSat is a dual-mission microsatellite designed to detect potentially hazardous Earth-orbit-crossing asteroids and track objects that reside in deep space

John Salib 2 Jan 30, 2022
PyTorch/GPU re-implementation of the paper Masked Autoencoders Are Scalable Vision Learners

Masked Autoencoders: A PyTorch Implementation This is a PyTorch/GPU re-implementation of the paper Masked Autoencoders Are Scalable Vision Learners: @

Meta Research 4.8k Jan 04, 2023
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

Human-Level Control through Deep Reinforcement Learning Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning. This imp

Devsisters Corp. 2.4k Dec 26, 2022
Multi-modal Content Creation Model Training Infrastructure including the FACT model (AI Choreographer) implementation.

AI Choreographer: Music Conditioned 3D Dance Generation with AIST++ [ICCV-2021]. Overview This package contains the model implementation and training

Google Research 365 Dec 30, 2022
A simple code to perform canny edge contrast detection on images.

CECED-Canny-Edge-Contrast-Enhanced-Detection A simple code to perform canny edge contrast detection on images. A simple code to process images using c

Happy N. Monday 3 Feb 15, 2022
Self-Supervised Learning

Self-Supervised Learning Features self_supervised offers features like modular framework support for multi-gpu training using PyTorch Lightning easy t

Robin 1 Dec 14, 2021
An auto discord account and token generator. Automatically verifies the phone number. Works without proxy. Bypasses captcha.

JOIN DISCORD SERVER https://discord.gg/uAc3agBY FREE HCAPTCHA SOLVING API Discord-Token-Gen An auto discord token generator. Auto verifies phone numbe

3kp 271 Jan 01, 2023
This is an example of a reproducible modelling project

An example of a reproducible modelling project What are we doing? This example was created for the 2021 fall lecture series of Stanford's Center for O

Armin Thomas 2 Oct 26, 2021
Fast, flexible and easy to use probabilistic modelling in Python.

Please consider citing the JMLR-MLOSS Manuscript if you've used pomegranate in your academic work! pomegranate is a package for building probabilistic

Jacob Schreiber 3k Dec 29, 2022
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

English | 简体中文 Documentation: https://mmtracking.readthedocs.io/ Introduction MMTracking is an open source video perception toolbox based on PyTorch.

OpenMMLab 2.7k Jan 08, 2023
This code finds bounding box of a single human mouth.

This code finds bounding box of a single human mouth. In comparison to other face segmentation methods, it is relatively insusceptible to open mouth conditions, e.g., yawning, surgical robots, etc. T

iThermAI 4 Nov 27, 2022
Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.

Self Supervised Learning with Fastai Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks. Install pip install self-

Kerem Turgutlu 276 Dec 23, 2022
using STGCN to achieve egg classification task

EEG Classification   The task requires us to classify electroencephalography(EEG) into six categories, including human body, human face, animal body,

4 Jun 13, 2022