🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.

PyTorch model training and layer saturation monitor

An AI-driven solution for enhancing safety at construction sites. Utilises YOLOv8 for object detection to identify overhead hazards like heavy loads and steel pipes. Alerts are triggered if personnel are detected beneath these hazards. Dataset sourced from Taiwan's construction industry.

Simplified Deep Image Matting training code with keras on tensorflow

Model training examples for NeoPulse AI Studio AMI

Demonstrates on how to train your model on custom class using tensorflow

Deep Learning based research project for predicting mental state of a person.

Containerized Tensorflow-based image classification training utility with Streamlit-based interface designed to choose between common architectures and optimizers for quick hyperparameter tuning.

This repo contains work on Machine Learning with python. It basically contains codes on various topics of ML for further use on any big project.

This is a capstone project associated with MLOps Zoomcamp. The end goal of the project is to build an end-to-end machine learning project containing feature engineering, training, validation, tracking, modeel deployment, hosting, and general engineering best practices aimed at making house price predictions.

Neural networks training pipeline based on PyTorch

Experiments with Model Training, Deployment & Monitoring

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Code for paper "Accelerating Federated Learning for IoT in Big Data Analytics with Pruning, Quantization and Selective Updating"

🐾 Training a machine learning model to recognize 15 different animal classes and classify images accordingly.

Face Mask Detection is a Python Project which is used with Attendance System Machine , the Attendance can only be marked if the Software detects you with a mask, otherwise the system will not accept your attendance. A Software useful for companies as a preventive measure of corona.

System to predict the outcome from soccer matches.

This repository contains code and dataset for a multiclass image classification model to detect monkeypox using the ResNet50 architecture. The project focuses on classifying skin lesion images into different categories related to monkeypox, achieving 100% accuracy.

we will use supervised learning techniques to classify the independent component (IC) images of resting state functional magnetic resonance imaging (rs-fMRI) scans as Noise and Resting state network (RSN)