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

Sparse Blocks Networks

A master repository of all Data Science projects, concepts, tools and resources that I learn and write about on my blog.

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.

Awesome Automatic Guitar Transcription Resources

This repository will be the journal for 100DaysOfMLCode pledge started by Siraj.

We have implemented a framework that supports developers to structured prune neural networks of Tensorflow Models

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

I predict air quality index of a city in China using a Long Short Term Memory (LSTM) neural network. for a year. Executed time series analysis

Journey through data analysis

This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"

Parallel data voice conversion based on pix2pix

Comprehensive repository featuring in-depth studies and practical projects in ML & DL

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

Very basic neural network implementation.

Taking up the #100DaysOfMLCode Challange