JavaFx Application for Convolutional Network to perfom Image Classification using Softmax Output Layer, Back Propagation, Gradient Descent, Partial Derivatives, Matrix Flattening, Matrix Unfolding, Concurrent Task, Performance Histogram, Confusion Matrix

Implementation of SoundtStream from the paper: "SoundStream: An End-to-End Neural Audio Codec"

repository for archiving experiments with various families of "spatially" two-dimensional dynamical systems.

GoogleNet Architecture is trained on CIFAR10 Dataset and LSTM Architecture is trained on IBM Stocks Dataset

Deep Learning Neural Network Architectures - LeNet and AlexNet, both trained on CIFAR10 and CIFAR100 Datasets

2D Max Pooling from NumPy

2D Convolution from NumPy

Wavelet Scattering Transform applied for Geo Sciences.

Implementation of the NFNets from the paper: "ConvNets Match Vision Transformers at Scale" by Google Research

Classify images generated by deep generative models

Acceleration package for neural networks on multi-core CPUs

Controlling the spectral norm of implicitly linear layers (e.g., convolutional layers)

Denoising Diffusion Medical Model (DDMM) on PyTorch for generating datasets of Acute Lymphoblastic Leukemia 🩺💜

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.

CNN for Fashion Mnist

GPU-accelerated Neural Network layers using Approximate Multiplications for PyTorch

SANNet Neural Network Framework

Code for Spectral Norm of Convolutional Layers with Circular and Zero Paddings and Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration

GPU-Accelerated Convolutional Kernel Training for Vertical Edge Detection (HPC Project A.Y. 23/24 @uniparthenope).