Vanilla neural network implemented in all major languages
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Updated
Jun 9, 2025 - Java
Vanilla neural network implemented in all major languages
A simple JavaScript neural network framework.
A deep learning model to classify the Arabic letters and digits easily.
Neural network library written in C and Javascript
A collection of some cool deep learning projects in python
code recognition persian handwritten
A Neural Network implemented from scratch as per http://neuralnetworksanddeeplearning.com/ in Rust. This is then trained on MNIST. This is also used in Rust-NN-Web project to compile to WASM and recognize digits.
This program uses ML to recognize a handwritten number written anywhere on a blank paper with preferable black ink. Please make sure that the image is of apt resolution.
Super Resolution's the images by 3x using CNN
Recognize Handwritten Digits(persian/english) with Neural Networks
Building a deep learning model for recognizing handwritten numbers.
This uses the Rust-NN, compiled to WASM, to recognize digits on frontend, without sending the data to backend.
I have used a Multi-Layer Perceptron (MLP) neural network to classify handwritten Persian digits dataset. I have plotted the error curve during the training phase. It has been explained what maximum accuracy is achieved. Additionally, I have examined the accuracy of recognizing different digits.
recognize mouse-written numbers using KNN, Neural Network, and Convolutional Neural Network models
Neural network that reads handwritten numbers.
Program in Python to solve sudoku puzzles from images, using TensorFlow (Keras) and Backtracking Algorithms.
A collection of open-source, educational MVPs for learning and development. Explore hands-on examples in AI, machine learning, web development, IoT, and more. Designed for students, developers, and educators, this repository encourages experimentation and practical learning. Contributions are welcome!
PyTorch-MNIST-digit-recognition-model
After working on a end year project for University, showcasing the better energetic efficiency of Neuromorphic comparing two programs, I've decided to improve my second algorithm. You'll find 3 files of codes : the main programm, the calculation of its accuracy and the test on the MNIST data-base.
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