Machine Learning as a Service for HEP
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Updated
May 10, 2022 - Python
Machine Learning as a Service for HEP
Key word/wake word detection with espressif esp32s3
Seatbelt detection using YOLOv5 ML model
EY Hackathon Project
Comment Toxic Analyzer build on machine Learning algorithm (Random Forest) capable to analyze toxicity present in comment or any text with the accuracy of around 83%
SugarSense : The Diabetes Prediction Application
Let's predict the survival of the fittest.
A Machine Learning model created using prebuild model. We need to feed the images to the model and it will predict if the same person is there else it will mark as unknown.
Video-based surgical skill assessment using 3D convolutional neural networks
Group project for Hackathon
This is an end-to-end ML project, which aims at developing a classification model for the problem of predicting credit card frauds using a given labeled dataset. The classifier used for this project is RandomForestClassifier. Deployed in Heroku.
BioSim model with Conditional Variational Autoencoder
With the help of this chatbot, users can communicate doubts regarding vaccine registration.
A price predictor model that predicts the price of your old car, based on some required input fields.
Forecasting the crime in a city from OSN data
An image classification machine learning model that recognizes hot dogs.
This repository contains a LSTM model, Google Stock Price Predictor
Building a simple, not-so cool ML Model - Polynomial Fitting
summer-search is a Python package that provides a simple interface for searching the web, extracting relevant content, and generating a summary based on the extracted information
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