A weekend project to create a basic, for-the-fun-of-it, non-convolutional neural-network to perform basic OCR!

Customizable Object-oriented Neural Network

Simple Duelyst card data encoder for neural network card generation

German to Czech Neural Machine Translation

Exercise notebooks for CVND.

A neural conditional random field implemented in DyNet.

Neural networks assignments

Web Framework for Asp.NET which provides Single Page Application functionality.

Web Application for the neural net project aiSight

An implementation of class artificial neural networks in modern C++

Deep Neural Network predicts pokemon combat outcomes with Dannjs

This repo points to code to train and evaluate Spatio-Temporal Neural Data Transformers (STNDT), a participating model in the Neural Latents Benchmark Challenge 2021.

GA theory neural-network tools

A simple Neural Net to forecast bike rentals (P1 - DLND)

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This is a code for a final assignment project during my undergraduate course on machine learning. It covers topics like Bayesian inference, regularization, gradient descent. The code was written by me and my colleague Daria.

Neural networks are a type of machine learning algorithm modeled after the structure and function of the human brain. They are used for tasks such as image and speech recognition, natural language processing, and decision making. Neural networks consist of layers of interconnected nodes, called artificial neurons, that process information

neural network model that generate videos