Various applications of deep learning have been demonstrated.

Version 2.0 of MINESweeper Isochrone fitting code

fork of andreessen horowitz "artificial intelligence playbook"

Vehicle Detection and Classification System

Tugas Kecerdasan Komputasional (use python lang)

Machine Learning library

A Neural Network Library in Python.

Computational Intelligence Shits

Deep Learning

Me & AI.

Neural netwok is designed with the aim to predict daily bike rental ridership. Netwok is trained on previous history data, and after training, it is used for prediction.

This is a Neural Network class I created in Python along with some test data.

The website Try-AI will be a place to explore how neural networks and AI works, directly from your browser, with games built on processing.

Various utilities useful in image processing and computer vision projects

Feed-Forward Artificial Neural Network entirely in C. Utilising backpropagation to train. Including an example implementation of the XOR function.

Classifying various cuisines based on the ingredients used in the dish

An experimental crossbreed between artificial neural networks, evolutionary algorithms and cellular automata.

In this project I have successfully developed a 2 layer neural network without using any major libraries like Keras or Tensorflow by purely using mathematical calculations to implement gradient descent and back propagation algorithms along with feed forward network

A neural network implementation that predicts what the solution to a sparse matrix equation will be. The prediction is then fed into a solver (using methods such as Gauss-Seidel, Jacobi, etc.) as the initial guess solution vector. The initial guess is close to the solution and therefore the amount of iterations required for convergence is reduced.