Popular GitHub Repositories for Dash

Create data science and AI web apps in R

A workout trainer Dash/Flask app that helps track your HIIT workouts by analyzing real-time video streaming from your sweet Pi using machine learning and Edge TPU..

Predicting soccer matches outcomes with machine learning as time series.

an open-sourced highly automated machine learning Python framework for data-driven geochemistry discovery

A minimalistic and pluggable machine learning platform for Kubernetes.

This app Classifies the text generated by AI tools like chatGPT. Roberta-base-openai-detector Model has been used from hugging face to detect ai generated texts.

a stateless chat bot to perform natural language queries against the App Store top charts

A custom RAG-LLM model to analyse central banking forecasts

Audio Explorer helps in audio data discovery and labelling by utilising unsupervised machine learning, statistics and digital signal processing.

Rental app with in-depth data analysis, interactive data visualization, predictive analytics, and chatbot using Dash. Selected as Plotly-Dash’s Top GenAI Project

Python library and dashboard for hyperparameter search and model training for computer vision tasks based on PyTorch, Optuna, FiftyOne, Dash, Segmentation Model Pytorch.

Visualising stock price predictions for several Machine Learning models using DASH, Python

Image Annotator Web-app using Plotly-Dash, MongoDB, and MLflow

A simple machine learning based project to predict win and lose probability upcoming game in the NBA games based on APIs from NBA.com

Project to predict stock prices with Recurrent Neural Network in TensorFlow with client input as web application (with Flask).

Winning Contribution of Michael Schwabe and David Lassig to BWI Data Analytics Hackathon 2020 in the Category Cyber Security. Proof of Concept Intrusion Detection using Zeek with selfmade MachineLearning in a nice WebApp.

Forecasting building energy demand through time series analysis and machine learning.

RAG application (backend & frontend) with sources retriveal and highlighting on the Databricks Platform

Time series forecasting on Citi Bike daily demand using an additive regression model (Facebook Prophet) and a convolutional neural network (WaveNet)

RNN / twitter sentiment based stock predictor