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

java deep learning algorithms and deep neural networks with gpu acceleration

Sparse Blocks Networks

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

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.

LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)

ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.

LATEX: TikZ package for drawing neural networks. Also available on CTAN at http://www.ctan.org/tex-archive/graphics/pgf/contrib/neuralnetwork

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

Papers and Codes for the deep learning in hyperbolic space

A header-only neural network library for microcontrollers, with partial bare-metal & native-os support.

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

No description available

No description available

Multi-layer Perceptron

Neural networks library for machine learning on PHP

Convolutional AutoEncoder application on MRI images

Implementation of a Neural Network that can detect whether a video is in-game or not

Awesome Automatic Guitar Transcription Resources

Forecasting Solar Power: Analysis of using a LSTM Neural Network

Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"

Implementation of key concepts of neuralnetwork via numpy

Training Neural Networks Without Gradients: A ADMM Approach

Traffic analysis for Tor-based malware detection and classification

No description available

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

Understanding nuts and bolts of neural networks with PyTorch

Journey through data analysis

code for "Training Interpretable Convolutional NeuralNetworks by Differentiating Class-specific Filters"