This repository contains different machine learning projects about emotion recognition.

Classification of MNIST handwritten digit dataset using a CNN.

High-efficiency floating-point neural network inference operators for mobile, server, and Web

Open source Python library for building bioimage analysis pipelines

moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.

Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".

Deep Learning with PyTorch

Different projects to discover Data Science

Classify fashion products based on a neural-network by providing an image of the product to be classified.

EBOP Model Automatic input Value Estimation Neural network

OCR to read the measurement of the watermeters.

Project developed for the Numeric Simulation Laboratory A.A. 2023-2024, held by professor Davide Emilio Galli at the University of Milan, Physics Department.

Image Tampering Detection WebApp

The repository contains notebooks created for collecting and preprocessing the corpus of diary entries and for experiments on creating models for predicting gender, age groups of authors and the time period of text creation.

Machine learning application for facial key-points detection

In this notebook, we aim to recognize speech commands using classification. For this purpose, we used the SPEECHCOMMANDS dataset and the deep convolutional model M5. The code is written in Python and designed for the PyTorch platform.

This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord

A system for creating neural networks in C

Deep Convolutional Neural Networks and Machine Learning Models for Analyzing Stellar and Exoplanetary Telescope Spectra

The objective of this project is to carry out supervised image classification on a collection of colored images. It employs a convolutional neural network design and applies data augmentation and transformations to recognize the category of images from a predefined set of 10 classes.