Acceleration package for neural networks on multi-core CPUs

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

An example of visualization of weights and output of convolutional layers

Rede Neural Convolucional para reconhecimento de gestos em LIBRAS (Alfabeto) Projeto 01/2019 - Ciência da Computação (Universidade Anhembi Morumbi)

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

Implementation of the generalized 2D convolution with dilation from scratch in Python and NumPy

A 1D implementation of a deformable convolutional layer in PyTorch with a few tricks.

Code for the paper entitled "Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods".

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

Tensorflow implementation for 'LCNN: Lookup-based Convolutional Neural Network'. Predict Faster using Models Trained Fast with Multi-GPUs

Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.

This library provides a set of functionalities for different type of deep learning (and ML) algorithms in C

Octave convolution

Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project

Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models

Caffe implementation for Active Shift Layer(ASL)

A Python implementation of the InverSynth method (Barkan, Tsiris, Koenigstein, Katz)

Hi! Thanks for checking out my tutorial where I walk you through the process of coding a convolutional neural network in java from scratch. After building a network for a university assignment, I decided to create a tutorial to (hopefully) help others do the same and improve my own understanding of neural networks.

Fractal structures grown from a single point, using either cellular automata rules or convolutional kernels.