Popular GitHub Repositories for Neuralnetworks

Guitar plugin made with JUCE that uses neural networks to emulate a tube amplifier.

Sparse Blocks Networks

Welcome to Machine Learning: Zero to Hero: From the fundamentals of machine learning to advanced techniques like regressions, classification, clustering, Neural Networks, OpenCV, Recommendation Engines and more, this Python-based repository provides a comprehensive guide for mastering ML.

Convolutional AutoEncoder application on MRI images

Forecasting Solar Power: Analysis of using a LSTM Neural Network

Traffic analysis for Tor-based malware detection and classification

Compendio de conocimiento sobre series temporales, para la predicción de series temporales con todos los métodos tratados en nuestro laboratorio DICITS.

Code for paper 'Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware'

Parallel data voice conversion based on pix2pix

Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthogonal regularizer on RNNs with SeqMNIST dataset.

SigNet (Detecting Signature Similarity using Machine Learning/Deep Learning): Is this the end of Human Forensic Analysis?

Lung Cancer Prediction using Machine Learning Algorithms

Self-ChatGPT

Won the 10 Days ML Challenge hosted by Tensorflow User Group Mumbai. This Repository consists of the problem statements and their solutions developed by me.

Artificial Neural Networks on Economic Forecasting

Repository with scripts in python for the models presented in Andrew Ng's Machine Learning course.

A simple demo of LVQ4J usage on the Iris Data Set

Handwriting Recognition and Generation with Long Short Term Memory Recurrent Neural Networks (based off https://github.com/Grzego/handwriting-generation) with better performance on longer inputs and made more accessible as a Flask web app

Weather time series data forecasting using Neural network autoregressive and Fourier-Autoregressive Moving Average

My graduation project on freezing casting data. Forecasting porosity with AI,