Repository Index

RNA-seq prediction with deep convolutional neural networks.

Code for "Social Networks for Startups"

Automated mapping of pedestrian networks from aerial imagery tiles

Deep and Machine Learning for Microscopy

• microscopy
• materials
• machine-learning
• materials-science

[DEPRECATED] Self-Supervised Extrinsic Calibration using 3D Spatial Transformer Networks

swiss army knife of Controller Area Networks (CAN) often used in cars and building automation, etc...

Shallow and Deep Convolutional Networks for Saliency Prediction

MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

• generative-adversarial-network
• mri-reconstruction
• computer-vision
• deep-learning

A tool for automatic phoneme transcription

• speech-recognition
• machine-learning
• acoustic-models
• artificial-intelligence

Graph to sequence implemented in Pytorch combining Graph convolutional networks and opennmt-py

PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.

• gnn
• graph-neural-netowrks
• signed-networks
• directed-networks

Axon/Myelin segmentation using Deep Learning

• deep-learning
• machine-learning
• myelin
• axon

The anti-vibe coding AI tool built for experienced engineers.

Programs to identify link communities in complex networks

Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !

A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).

• adversarial-attacks
• graph-convolutional-networks
• graph-neural-networks
• pytorch

Suricata Language Server is an implementation of the Language Server Protocol for Suricata signatures. It adds syntax check, hints and auto-completion to your preferred editor once it is configured.

TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"

• text-classification
• sentiment-analysis
• hierarchical-attention-networks
• document-classification

Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.

• beginner-friendly
• beginner-project
• deep-learning
• deep-neural-networks

A Tensorfflow implementation of Attend, Infer, Repeat

• tensorflow
• vae
• neural-networks
• attention-mechanism

Unsupervised Image to Image Translation with Generative Adversarial Networks

• tensorflow
• tensorlayer
• deep-learning
• image-to-image

This project is designed to create deceptive webpages to deceive and redirect attackers away from real websites.

• deceptive-webpages
• web-cloner
• honeypot
• deception

The Security Analyst’s Guide to Suricata