Sparse Blocks Networks

Convolutional AutoEncoder application on MRI images

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

Lightweight image converter and dataset augmentor

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

Journey through data analysis

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

Forecasting Solar Power: Analysis of using a LSTM Neural Network

Very basic neural network implementation.

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

Matrix-Vector Library Designed for Neural Network Construction. cuda (gpu) support, openmp (multithreaded cpu) support, partial support of BLAS, expression template based implementation PTX code generation identical to hand written kernels, and support for auto-differentiation

Taking up the #100DaysOfMLCode Challange

Program module for parallel training of convolutional neural networks using DL4J & CUDA 🦄

Workshop repo for CopenhagenR useR meetup March 7th 2019: Introduction to Artificial Neural Networks in R using Keras/TensorFlow

A multi-input multi-output sequence-to-sequence machine learning toolkit

Parallel data voice conversion based on pix2pix

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

This is the code for the Cryptocurrency closing price predictor.

A list of awesome and easy-to-read NN articles

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

My first simple realization of Neural Network library by scratch, so you can use it in your projects (check the documentation in README). You can see an example how to use the library below.

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.

C# .Net implementation of artificial neural network.

Artificial Neural Networks on Economic Forecasting

Hi-tech Pipes Google stock prediction using Artificial Neural Networks

Python programs for Python Learning

Beginners code for Neural Networks

Posting all the things learnt in my #100daysofcode journey