There are 3 repositories under convolutional topic.
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.
Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
Lego parts classifier using deep neural networks
Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
Hands-on in-person workshop for Deep Learning with TensorFlow
Visualize feature maps in convolutional neural networks.
Convolutional autoencoder for encoding/decoding RGB images in TensorFlow with high compression ratio
Deep Learning (PyTorch) Models Deployment using SQL databases
AI High-Performance Solution on FPGA
Some neural networks code and notes I've been doing for Andrew Ng's Deep Learning course.
Japanese Handwritten Character Recognition using DropBlock Regulzarization
Mokka is a minimal Inference Engine for Dense and Convolutional 2D Layer Neural Networks. Written on a single C++ header, it uses AVX2
Encoder and decoder for a parallel-concatenated convolutional code (PCCC)
Neural network for words recognition
Coursera's Deep Learming Specialization Lecture notes
Supervised learning approach to Tic Tac Toe. The model learns the correct move for all positions generated by minimax search.
Recognizing link URLs from images and returning site data - for a more physically inclusive web experience. CRNNs with PyTorch
Lightweight, zero dependency, machine learning library.
Master's Thesis project at University of Agder, Spring 2020. Classification with Tsetlin Machine on board game 'GO'.
AI High-Performance Solution on FPGA
Convolutional attention Long Sort Term Memory for processing the kinects 700 dataset.
convolutional neural network diagnosis pneumonia
This code trains a CNN in Keras to classify cell images (infected/uninfected). It sets up data generators, defines model architecture with convolutional layers, applies regularization, configures callbacks, and trains the model for binary classification.
Udacity Self-Driving Car Engineer Nanodegree - Term1 Project 3 (Behavior Cloning)
a quantum enhanced deep learning solution to detect TAG weld defects
Mobile Communication is the use of technology that allows us to communicate with others in different locations without the use of any physical connection (wires or cables).
Audio Denoiser using a convolutional autoencoder. The following code upsamples a noisy audio fragments and removes noise for a clearer voice sample
Handwriting Recognition course at University of Groningen 16/17 (Master Artificial Intelligence)
Reformulation of LBP through Convolutional Filters in Python using the TensorFlow framework