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

🌊 Enhance underwater perception with FLSFusionNet, a lightweight framework for real-time segmentation of side-scan sonar images in challenging environments.

MobileNetV2-UNet semantic segmentation for Starbucks logo detection - 50ms inference with PyTorch Lightning, binary mask output for mobile deployment

Make pytorch and tensorflow two become one.

This project implements a Generative Adversarial Network (GAN) to generate fashion images using the Fashion MNIST dataset. The notebook contains a complete implementation of both generator and discriminator models, training loop, and visualization of generated images.

😴 DeepSleep2 is a compact U-Net-inspired convolutional neural network with 740,551 parameters, designed to predict non-apnea sleep arousals from full-length multi-channel polysomnographic recordings at 5-millisecond resolution. Achieves similar performance to DeepSleep with lower computational cost.

The implementation of the Neural Architecture Search based at the Fedot framework

Contains information links, articles, research papers, tweets, blog posts, companies etc and everything which is even minutely related to the field of Artificial Intelligence, Distributed Computing, Quantum Computing and Physics, Evolutionary Biology, Crypto-currency, Virual and Augmented Reality etc.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

This repo contains code and supplementary materials for paper "Towards importance of periodicity estimation in long-term spatio-temporal data prediction" presented on IJCNN 2025

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、reg…

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

🐾 FurVision: Advanced CNN for Cat/Dog Classification

This repository contains labs and tutorials on Convolutional Graph Networks (GCNs).

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

This repository contains a collection of convolutional benchmarks from VNNCOMP 2022-2024. It is designed to offer a more organized version of the existing benchmarks, making it easier to test new software. We recommend cloning the 'benchmarks_vnncomp' repository, which includes this repository as a submodule.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images