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#

convolutional

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Here are 51 public repositories matching this topic...

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MixHop-and-N-GCN

benedekrozemberczki / MixHop-and-N-GCN

Sponsor
Star 407

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

machine-learning deep-learning tensorflow pytorch deepwalk convolutional-layers convolutional-neural-networks ngcn convolutional gcn node2vec pytorch-cnn graph-attention-networks multi-scale graph-representation-learning walklet graph-convolution graph-attention walklets mixhop
  • Updated Nov 6, 2022
  • Python

james34602 / SpleeterRT

Star 174

Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.

plugin machine-learning deep-learning neural-network tensorflow model signal-processing dsp cnn segmentation spectrogram vst stft bss audio-processing convolutional source-separation speech-enhancement intel-mkl-library spleeter
  • Updated Sep 3, 2021
  • C

ari-dasci / S-TSFE-DL

Star 66

Time Series Feature Extraction using Deep Learning

deep-learning time-series tensorflow keras cnn python3 pytorch feature-extraction lstm neural-networks rnn recurrent convolutional pytorch-lightning
  • Updated Sep 10, 2025
  • Python

GabrieleLagani / HebbianLearningThesis

Star 32

Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.

python learning deep pytorch computer vision networks neural convolutional hebbian
  • Updated Aug 30, 2021
  • Python

kirill-sidorchuk / lego_detector

Star 27

Lego parts classifier using deep neural networks

learning network deep computer vision classification lego convolutional
  • Updated Mar 5, 2019
  • Python

Belval / NaiveCNN

Sponsor
Star 20

A naive (very simple!) implementation of a convolutional neural network

network numpy convnet neural convolutional
  • Updated Jul 25, 2017
  • Python

mllite / keras2sql

Star 17

Deep Learning (Keras) Models Deployment using SQL databases

mysql machine-learning sql theano deep-learning deployment neural-network cntk tensorflow scikit-learn postgresql keras oracle databases lstm layer activation sqlserver convolutional in-database
  • Updated Jul 5, 2019
  • Python

8ff / viterbi

Star 16

Convolutional encoder and a Viterbi decoder written in Golang

golang viterbi convolutional viterbi-decoder
  • Updated Sep 27, 2024
  • Go

GabrieleLagani / HebbianPCA

Star 15

Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.

python learning network machine deep pytorch computer vision pca neural convolutional hebbian
  • Updated Apr 26, 2022
  • Python

aymanibrahim / dltf

Star 13

Hands-on in-person workshop for Deep Learning with TensorFlow

workshop deep-learning neural-network tensorflow cnn lstm rnn autoencoder rbm recurrent convolutional
  • Updated Aug 5, 2023
  • Jupyter Notebook

fabyangliu / Visualization-of-Feature-Maps-in-CNN

Star 12

Visualize feature maps in convolutional neural networks.

visualization map network neural feature convolutional
  • Updated Apr 3, 2018
  • Python

MrDavidYu / TF_Convolutional_Autoencoder

Star 12

Convolutional autoencoder for encoding/decoding RGB images in TensorFlow with high compression ratio

tensorflow autoencoder rgb-image face-recognition convolutional-autoencoder celeba convolutional leaky-relu tensorflow-gpu celeba-dataset
  • Updated Jul 28, 2018
  • Python

mllite / pytorch2sql

Star 10

Deep Learning (PyTorch) Models Deployment using SQL databases

mysql machine-learning sql deep-learning deployment postgresql oracle databases torch pytorch lstm gru layer linear rnn sqlserver recurrent convolutional in-database skorch
  • Updated Jul 25, 2021
  • Python

AlgorithmicDynamics / kernel-interference-explorer

Star 8

An interactive experiment exploring the boundary between interference and fractal patterns in an iterative convolution system.

convolutional-layers convolution dynamical-systems fractals convolutional emergent-behavior convolutions
  • Updated Jan 24, 2026
  • JavaScript

MuellerDominik / AIonFPGA

Star 7

AI High-Performance Solution on FPGA

training data ai fpga tensorflow network inference xilinx ise convolutional-neural-network neural augmentation mpsoc convolutional fhnw fachhochschule nordwestschweiz
  • Updated Sep 19, 2020
  • Python

mattborghi / DeepLearning.AI

Star 6

Some neural networks code and notes I've been doing for Andrew Ng's Deep Learning course.

learning machine-learning intelligence deep-learning transfer machine style coursera deep artificial neural-networks networks reinforcement neural recurrent convolutional
  • Updated Jun 9, 2021
  • Jupyter Notebook
Kuzushiji-DropBlock

sujatasaini / Kuzushiji-DropBlock

Star 5

Japanese Handwritten Character Recognition using DropBlock Regulzarization

network japanese keras deep dropout mnist batch-normalization regularization literature methods different historical neural convolutional classical dcnn dropblock kmnist fmnist spatial-dropout
  • Updated Apr 7, 2021
  • Python

niepp / mini_cnn

Star 5

a light-weight convolutional neural network based on c++ 11

cnn light-weight convolutional mutli-threading
  • Updated Aug 18, 2019
  • C++

venkat0791 / pccc

Star 4

Encoder and decoder for a parallel-concatenated convolutional code (PCCC)

code decoder turbo lte 4g convolutional bcjr
  • Updated Nov 2, 2025
  • Rust

marchete / Mokka

Star 4

Mokka is a minimal Inference Engine for Dense and Convolutional 2D Layer Neural Networks. Written on a single C++ header, it uses AVX2

machine-learning machine-learning-algorithms avx mnist codingame convolutional inference-engine fully-connected conv2d fully-connected-layer dense-layer
  • Updated Jul 6, 2021
  • C++

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