Stars
A customizable, open-source ecommerce platform built on WordPress. Build any commerce solution you can imagine.
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
Roadmap to becoming a data engineer in 2021
Deploy a WordPress CMS on Heroku platform that demonstrates how to build blogs and is optimized for SEO with ClearDB/Heroku Postgres, SendGrid & New Relic Heroku add ons added by default. Contact s…
Template project for deploying WordPress 5.7.2 to Heroku
Stopwords collection of Bahasa Indonesia collected from many sources.
All News is a web app. A news api is used to fetch news data from newsapi.org and categorised into different categories like business, health, science, etc. The newspaper library of python is then …
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecas…
A website that predicts the probability of a forest fire taking place based on oxygen,temperature and humidity content
Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)
Ready-to-use Twitter-bootstrap for use in Flask.
Flask web app to provide a basic UI for an NLP model to extract key phrases from scientific publications
Web app created using python’s micro web framework flask which predicts the flair of a reddit post given its url. The project utilizes data science concepts and NLP techniques for extracting, clean…
A simple NLP-powered Flask web app for classifying emergency messages into disaster response categories.
📝 Flask web app that allows for text annotation for use on nlp and text analytics projects
A simple Flask API to detect spam or ham using Python and Sklearn
A simple Keras REST API using Flask
Deploying a Deep Learning model on Heroku Server
😺 Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Summaries and notes on Natural Language Processing research papers, blogs and Google Colab notebooks.
Repository for Configurable Semantic and Sentiment Emotion Detector (ConSSED).
Addressing Training-Test Class Distribution Mismatch in Conversational Classification for SemEval-2019 Task3 EmoContext
Deep-learning system presented in "EmoSence at SemEval-2019 Task 3: Bidirectional LSTM Network for Contextual Emotion Detection in Textual Conversations" at SemEval-2019.
Exploring learning rates to improve model performance
Text classification using different neural networks (CNN, LSTM, Bi-LSTM, C-LSTM).
all kinds of text classification models and more with deep learning