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Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
Tor Iptables script is an anonymizer that sets up iptables and tor to route all services and traffic including DNS through the Tor network.
Visualization Package for NetworkX
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
Sequential regulatory activity predictions with deep convolutional neural networks.
Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
Mininet fork adding support for container-based (e.g. Docker) emulated hosts.
Community Discovery Library
DDoS attacks over Tor
🎆 A visualization of the CapsNet layers to better understand how it works
A federated social home
Neural networks toolbox focused on medical image analysis
Set of tools for security testing of Internet of Things devices using specific network IoT protocols
Visualize network topologies and collect graph statistics based on pcap files
Search and filter videos based on objects that appear in them using convolutional neural networks
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
The Simplest DCGAN Implementation
End-To-End Memory Network using Tensorflow
CANToolz - framework for black-box CAN network analysis
GraphDTA: Predicting drug-target binding affinity with graph neural networks
Source code for "DeepDTA: deep drug-target binding affinity prediction"
File Scanning Framework