There are 5 repositories under convolutional-layers topic.
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)
A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.
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.
Implementation of the generalized 2D convolution with dilation from scratch in Python and NumPy
Using Tensorflow to classify the NIST Dataset 19 (Handwriting)
Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.
Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models
Caffe implementation for Active Shift Layer(ASL)
This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated
A Python implementation of the InverSynth method (Barkan, Tsiris, Koenigstein, Katz)
Sub-Pixel Convolutional Layer with Tensorflow/Keras
Tensorflow implementation for Active Shift Layer(ASL)
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
Deep learning architecture to help a drone target and follow people
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.
SANNet Neural Network Framework
In this project we have explored the use of imaging time series to enhance forecasting results with Neural Networks. The approach has revealed itself to be extremely promising as, both in combination with an LSTM architecture and without, it has out-performed the pure LSTM architecture by a solid margin within our test datasets.
Simple MATLAB toolbox for deep learning network: Version 1.0.3
Capstone Project 2 for Data Science Career Track: Image Classification of Dog Breeds
Cholesterol is calculated from the given set of data.
ResNet in tensorflow for CIFAR-100, CIFAR-10
A simple single object detection using Convolutional Neural Network, (CNN).
Code for Spectral Norm of Convolutional Layers with Circular and Zero Paddings and Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration
Visualization of the filters of VGG16, via gradient ascent in input space.
A CNN implementation of Google's "Quick, Draw!"
Winograd Convolution in Julia with CUDA kernels
Cifar-10 Image Reconstruction using Auto-encoder Models
Implementation of SoundtStream from the paper: "SoundStream: An End-to-End Neural Audio Codec"