Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.
- network-security
- security
- arkime
- cybersecurity
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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
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
Sequential regulatory activity predictions with deep convolutional neural networks.
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
CAI NEURAL API - Pascal based deep learning neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
Dynamic Neural Networks Architect
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
Community Discovery Library
Developed to power Conveyal's web-based interface for scenario planning and land-use/transport accessibility analysis, R5 is our routing engine for multimodal (transit/bike/walk/car) networks with a particular focus on public transit
Neural networks toolbox focused on medical image analysis
SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
A tool to visualize complex networks in LaTeX
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)
End-To-End Memory Network using Tensorflow
Artificial intelligence/machine learning data structures and Swift algorithms for future iOS development. bayes theorem, neural networks, and more AI.
Check how many times url was shared in social networks, e.g. share counts
🔐 Library for developing secure, decentralized, anonymous and quantum-resistant networks in Go language
GraphDTA: Predicting drug-target binding affinity with graph neural networks
Source code for "DeepDTA: deep drug-target binding affinity prediction"
RNA-seq prediction with deep convolutional neural networks.
Powerful Powerful Machine Learning library with GPU, CPU and WASM backends