Story GeneratorA Streamlit web app that generates Rick and Morty stories using GPT2.
Stars: ✭ 28 (-87.61%)
Text-SummarizationAbstractive and Extractive Text summarization using Transformers.
Stars: ✭ 38 (-83.19%)
text2keywordsTrained T5 and T5-large model for creating keywords from text
Stars: ✭ 53 (-76.55%)
search itUmfangreiche Volltextsuche für REDAXO 5 CMS. Durchsucht Artikel, Medien, Dateien, PDF-Inhalte und Datenbank-Einträge.
Stars: ✭ 60 (-73.45%)
favvFullstack Web Application Framework With FastAPI + Vite + VueJS. Streamlit for rapid development.
Stars: ✭ 17 (-92.48%)
Naive-Resume-MatchingText Similarity Applied to resume, to compare Resumes with Job Descriptions and create a score to rank them. Similar to an ATS.
Stars: ✭ 27 (-88.05%)
streamlit-aceAce editor component for Streamlit.
Stars: ✭ 130 (-42.48%)
stqdmstqdm is the simplest way to handle a progress bar in streamlit app.
Stars: ✭ 75 (-66.81%)
geemap-appsInteractive web apps created using geemap and streamlit
Stars: ✭ 24 (-89.38%)
gateCrackerNo description or website provided.
Stars: ✭ 20 (-91.15%)
streamlit-analytics👀 Track & visualize user interactions with your streamlit app
Stars: ✭ 92 (-59.29%)
farolcovid🚦🏥. Ferramenta de monitoramento do risco de colapso no sistema de saúde em municípios brasileiros com a Covid-19 • Monitoring tool & simulation of the risk of collapse in Brazilian municipalities' health system due to Covid-19
Stars: ✭ 49 (-78.32%)
streamlit-tensorboardStreamlit component for TensorBoard, TensorFlow's visualization toolkit
Stars: ✭ 18 (-92.04%)
streamlit-aggridImplementation of Ag-Grid component for Streamlit
Stars: ✭ 465 (+105.75%)
deepstack-uiUI for working with Deepstack
Stars: ✭ 115 (-49.12%)
playgroundA Streamlit application to play with machine learning models directly from the browser
Stars: ✭ 48 (-78.76%)
streamlit-light-leafletStreamlit quick & dirty Leaflet component that sends back coordinates on map click
Stars: ✭ 22 (-90.27%)
renewcastRenewcast: Forecasting Renewable Electricity Generation in EU Countries.
Stars: ✭ 28 (-87.61%)
five-minute-midasPredicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit
Stars: ✭ 41 (-81.86%)
question generatorAn NLP system for generating reading comprehension questions
Stars: ✭ 188 (-16.81%)
jina-meme-searchMeme search engine built with Jina neural search framework. Search with captions or image files to find matching memes.
Stars: ✭ 21 (-90.71%)
kssKss: A Toolkit for Korean sentence segmentation
Stars: ✭ 198 (-12.39%)
book-sentencesA collection of sentences from different books.
Stars: ✭ 43 (-80.97%)
leafmapA Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Stars: ✭ 1,299 (+474.78%)
Uwuifier-nodeThis repository contains the Uwuifier package! It's written in Deno with TypeScript and compiled into JavaScript for NPM, makes use of Jest for testing the code and is deployed on NPM and https://deno.land.
Stars: ✭ 48 (-78.76%)
cogviewerSimple Cloud Optimized GeoTIFF viewer.
Stars: ✭ 21 (-90.71%)
Product-Categorization-NLPMulti-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).
Stars: ✭ 30 (-86.73%)
tagifyTagify produces a set of tags from a given source. Source can be either an HTML page, a Markdown document or a plain text. Supports English, Russian, Chinese, Hindi, Spanish, Arabic, Japanese, German, Hebrew, French and Korean languages.
Stars: ✭ 24 (-89.38%)
muneSimple stock price analytics
Stars: ✭ 14 (-93.81%)
ML-explainability-appThis is a web app built for easy explainability of machine learning models without writing any code in order to explain easily to non-technicals and stakeholders.
Stars: ✭ 15 (-93.36%)
mongoose-keywordsMongoose plugin that generates a keywords path combining other paths values
Stars: ✭ 23 (-89.82%)
tttA package for fine-tuning Transformers with TPUs, written in Tensorflow2.0+
Stars: ✭ 35 (-84.51%)
map-floodwater-satellite-imageryThis repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.
Stars: ✭ 21 (-90.71%)
rake new2A Python library that enables smooth keyword extraction from any text using the RAKE(Rapid Automatic Keyword Extraction) algorithm.
Stars: ✭ 23 (-89.82%)
img ai app boilerplateAn image classification app boilerplate to serve your deep learning models asap!
Stars: ✭ 27 (-88.05%)
MIRNetTensorflow implementation of MIRNet for Low-light image enhancement
Stars: ✭ 78 (-65.49%)
awesome-search-engine-optimizationA curated list of backlink, social signal opportunities, and link building strategies and tactics to help improve search engine results and ranking.
Stars: ✭ 82 (-63.72%)
ShibuyaAn Xcode theme to solve some problems with default theme on SwiftUI
Stars: ✭ 38 (-83.19%)
hydralitA library to create multi-page Streamlit applications with ease.
Stars: ✭ 93 (-58.85%)
Bank-Note-Authentication💸 Authenticate Bank Notes on the basis of Genuity and Forged using Sklearn and deployed on Heroku and FastAPI Server 💳 💲
Stars: ✭ 17 (-92.48%)
streamlit-webrtc-exampleReal time video and audio processing examples with Streamlit and streamlit-webrtc
Stars: ✭ 53 (-76.55%)
kwxBERT, LDA, and TFIDF based keyword extraction in Python
Stars: ✭ 33 (-85.4%)
streamlit-lottieStreamlit component to render Lottie animations
Stars: ✭ 47 (-79.2%)
simple NERsimple rule based named entity recognition
Stars: ✭ 29 (-87.17%)