Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

🍃 Using a Neural Network to improve web accessibility in JavaScript.

Minimalistic Multiple Layer Neural Network from Scratch in Python.

:traffic_light: An Artificial Neural Network based Traffic Light Controller for intersections. Computational Intelligence class final project.

🍃 Using a Neural Network to recognize MNIST digets in JavaScript.

Matlab implementation of Neural Networks Results for Alarm-Warning Control System of mobile robot with five Ultrasonic sensors

An neural network to classify the handwritten digits 0-9 for the MNIST dataset. No NN/ML libraries used.

A dead simple neural network. For educational purposes only.

Deep learning with Game Of Life

Recognize color with a neural network

Improving Prediction of Daily Visits of Wikipedia Mathematics Topics using Graph Neural Networks

Evolutionary self-driving cars learning via Natural Selection. Features Deep Neural Networks, Crossover, and a custom Physics Engine. Built with Go & Ebitengine.

A collection of real-world machine learning and AI projects. Explore hands-on implementations of cutting-edge models, practical solutions, and techniques to tackle real-world challenges using AI.

🤖 Artificial intelligence (neural network) proof of concept to solve the classic XOR problem. It uses known concepts to solve problems in neural networks, such as Gradient Descent, Feed Forward and Back Propagation.

Simple neural network implementation from scratch

A TensorFlow implementation of TrafficLightNeuralNetwork (ANN-based Traffic Light Controller).

No description provided.

Essential deep learning algorithms, concepts, examples and visualizations with TensorFlow. Popular and custom neural network architectures. Applications of neural networks.

NeuralNetwork Linear Example with Java programming language

simple C++ auto-differentiation library

A graphical user interface for creating "DeepDream" images. Uses Mathworks' pretrained convolutional neural networks. Requires Neural Network Toolbox and AlexNet support package.

A simple feed forward neural network implementation for predicting handwritten digits.

Some algorithms which uses neural networks to solve i.e., forwardpropagation , etc.,

A manometer value analyzer experiment using VGG16 and Keras and classification model

This project is a reproduction of Mr. Daniel Shiffman (The Coding Train)'s project of the same name with his own toy neural network. This project is made with TensorFlow.js and has a lot of little tweaks and modifications, with more accuracy and a lot more data.

A small collection of basic neural networks for different tasks using pytorch.

Perceptron, Pseudo Inverse Linear Classifier, SGD, SVM, Batch Gradient Descent, Minibatch Gradient Descent with tensorflow

Understanding Neural Networks

Recurrent neural network for short-term market price prediction using TensorFlow

Sameer Girolkar's AIML practice Notebooks