An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
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Nov 6, 2022 - Python
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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
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
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
Lego parts classifier using deep neural networks
A naive (very simple!) implementation of a convolutional neural network
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
Convolutional encoder and a Viterbi decoder written in Golang
Hands-on in-person workshop for Deep Learning with TensorFlow
workshop deep-learning neural-network tensorflow cnn lstm rnn autoencoder rbm recurrent convolutional
Visualize feature maps in convolutional neural networks.
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
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
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
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
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
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
a light-weight convolutional neural network based on c++ 11
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
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