nithishr / streamlit-ml-demo
Machine Learning (Imagenet) User Interface Demo application using Streamlit
☆16Updated last year
Related projects: ⓘ
- my personal working directory of milvus projects☆13Updated 6 months ago
- Public source code for the Batch Processing with Apache Beam (Python) online course☆17Updated 3 years ago
- Build an scikit-learn model to predict churn using customer telco data.☆12Updated last year
- In this repo I show how to simple create an API for your machine learning models in Python☆12Updated 5 years ago
- Content based Recommendation☆12Updated 3 years ago
- How to build an AI assistant to chat with Papers With Code?☆19Updated 7 months ago
- Build Deep Neural Network model in Keras and deploy a REST API to production with Flask on Google App Engine☆34Updated last year
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆34Updated 9 months ago
- This project is focused on the Deployment phase of machine learning. The Docker and FastAPI are used to deploy a dockerized server of tra…☆22Updated last year
- Some recipes for data engineering with Python☆22Updated 3 years ago
- ☆19Updated 6 years ago
- A few end to end examples that use data-describe☆16Updated last year
- This repo contains the code demonstrated in the Analytics Vidhya article about PyWebIO usage and the ML model prediction code.☆11Updated 3 years ago
- The official repository of the book Data Storytelling with Python Altair and Generative AI☆10Updated last month
- ☆11Updated last year
- Live stream tweets based on keywords to database using SQLAlchemy. Tweets are assigned a sentiment score and data is presented via stream…☆43Updated 3 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆42Updated 3 years ago
- AWS Machine Learning-Specialty- my notes☆47Updated 5 years ago
- Streamlit example showing Scikit Learn & Pyspark ML over Healthcare data ! Its simple !!☆28Updated 3 years ago
- mlops main demo☆13Updated last year
- A hands-on case study for demonstrating the stages involved in a machine learning project, from EDA to production.☆38Updated last year
- ☆24Updated last year
- ☆35Updated this week
- deploying an ML model to Heroku with FastAPI☆48Updated 5 months ago
- Example app that demonstrates how to run a Flask app with a free GPU using Google Colab and ngrok☆41Updated last year
- Demo for Using GitHub Actions in MLOps☆40Updated 2 years ago
- ☆18Updated 5 years ago
- A data-warehouse built for the pNEUMA open dataset of naturalistic trajectories of half a million vehicles collected by a swarm of drones…☆10Updated last year
- This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your ow…☆64Updated 8 months ago
- The repository for the course in Udemy☆17Updated 4 years ago