Artificial neural network package written in python

Projeto de Inteligência Artificial para reconhecer dígitos de imagens em uma rede neural simples

Implementing a CNN from scratch for MNIST classification in C++ using CUDA

A tf-keras-based MNIST classification model using the Sequential API, with convolutional and dense layers

Digits-In-Ink, A Handwritten digit classification web app

neural network from scratch

Simple MLP (Multi-Layer Perceptron) framework with MNIST example

This repository implements a Vision Transformer (ViT) to classify handwritten digits from the MNIST dataset. The project includes model definition, training scripts, and visualization of results, including correct/incorrect predictions and a confusion matrix.

Handwriting digits image classification via Machine Learning

A classical-quantum or hybrid neural network with adversarial defense protection

Neural Network Number Classifier: A C++ implementation of a neural network from scratch for digit classification , trained and evaluated on the MNIST dataset.

AI/ML projects to learn and improve

A digit classifier demo with streamlit framework

Welcome to the Deep Learning Odyssey! 🚀 This repository contains code of deep neural networks. Here, you'll find code, projects, and resources related to CNN, RNN , LSTM, GRU, GAN, VAE, DNN, RL, MLP etc.

An implementation of the KAN architecture using learnable activation functions for knowledge distillation on the MNIST handwritten digits dataset. The project demonstrates distilling a three-layer teacher KAN model into a more compact two-layer student model, comparing the performance impacts of distillation versus non-distilled models.

Handwritten Digit Classification on MNIST Dataset, Utilising Only Traditional Machine Learning Techniques and a Custom Feature Extractor

Machine Learning Code Implementations in Python

An Android app where users draw a number and machine learning does the rest

NeuroBender, where the mystical powers of KAN network meet the robust stability of autoencoders!

A Jupyter notebook that investigates a Fully Connected NN and a Convolutional NN in the MNIST classification problem.