Pinned Repositories
AutoDaedalus
Neural Architecture Search Powered by Swarm Intelligence 🐜
autoencoders-neat
Evolvable autoencoders in NEAT-Python
autoencoders-neat-for-anomaly-detection
Using NEAT to build an autoencoder topology for anomaly detection
binance-trade-bot
Automated cryptocurrency trading bot
cortex-example
Example to work with Cortex API
fifaindex-scraper
Python Scrapy scraper for fifaindex.com players
hawk-drone
HoverGames challenge (tracking person with Google Coral camera and simulating "Follow me" functions)
NiaNet
Designing and constructing neural network topologies using nature-inspired algorithms
SpartanNET
Python script to set up HW and logic to start monitoring probe requests which are later used to create Evil-Twin AP on Kali Linux OS.
SasoPavlic's Repositories
SasoPavlic/NiaNet
Designing and constructing neural network topologies using nature-inspired algorithms
SasoPavlic/SpartanNET
Python script to set up HW and logic to start monitoring probe requests which are later used to create Evil-Twin AP on Kali Linux OS.
SasoPavlic/AutoDaedalus
Neural Architecture Search Powered by Swarm Intelligence 🐜
SasoPavlic/fifaindex-scraper
Python Scrapy scraper for fifaindex.com players
SasoPavlic/autoencoders-neat
Evolvable autoencoders in NEAT-Python
SasoPavlic/autoencoders-neat-for-anomaly-detection
Using NEAT to build an autoencoder topology for anomaly detection
SasoPavlic/binance-trade-bot
Automated cryptocurrency trading bot
SasoPavlic/cortex-example
Example to work with Cortex API
SasoPavlic/hawk-drone
HoverGames challenge (tracking person with Google Coral camera and simulating "Follow me" functions)
SasoPavlic/NiaAML
Python automated machine learning framework.
SasoPavlic/NiaNetAD
This is a ported version of the NiaNet algorithm that makes use of the power of a high-performance computer. We could say that this version of NiaNet is on steroids.
SasoPavlic/NiaNetCAE
Designing and constructing convolutional autoencoders using nature-inspired algorithms
SasoPavlic/NiaPy
Python microframework for building nature-inspired algorithms. Official docs: https://niapy.org
SasoPavlic/sequitur
Library of autoencoders for sequential data