8 open source projects by IQTLabs

Machine learning plugins for network traffic

✭ 73

python machine-learning ml machine-learning-algorithms network-analysis pcap

Poseidon is a python-based application that leverages software defined networks (SDN) to acquire and then feed network traffic to a number of machine learning techniques. The machine learning algorithms classify and predict the type of device.

✭ 310

python machine-learning docker security automation networking network-analysis network-monitoring pcap sdn

3. Audio-Sensor-Toolkit

A guide and set of tools for working with TinyML powered Audio Sensors

✭ 19

C++python

4. dovesnap

Docker OVS Network Plugin

✭ 18

go shell python Dockerfile docker networking docker-plugin openflow openvswitch ovs faucet ovs-bridge ovs-plugin

5. packet cafe

A platform built for easy-to-use automated network traffic analysis

✭ 40

Jupyter Notebook javascript python CSS Dockerfile HTML pcap network-analysis hacktoberfest network-traffic network-traffic-analysis

6. network-tools

Network Tools

✭ 27

c python docker pcap docker-container plug-ins network-monitoring asn network-analysis tcpdump oui network-security snort pcap-analyzer ouilookup p0f network-tap pmercury libtrace

7. freqgen

🎯 Generate DNA sequences with specified amino acid, codon, and k-mer frequencies

✭ 16

python javascript Vue HTML genetic-algorithm fasta kmer codon-usage

8. FakeFinder

FakeFinder builds a modular framework for evaluating various deepfake detection models, offering a web application as well as API access for integration into existing workflows.

✭ 29

python machine-learning deep-learning artificial-intelligence cloud-computing mlops deepfake-detection

1-8 of 8 user projects