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SwaNN is a basic framework for neural networks based on particle swarm optimization (using the Python package PySwarms (https://pyswarms.readthedocs.io/en/latest/).
The zip file contains the main programs in SwaNN.py and around 30 examples :
- classification
- regression
- time series forecasting
I need some help for class building (I am not an expert in Python nor in OOP), if somebody is interested in it...
...We do not yet have a full system that can extract facts from arbitrary text, but we have built a number of the subsystems needed for such a system. The SLING frame store is our basic framework for building and manipulating frame semantic graph structures. The Wiki flow pipeline can take a raw dump of Wikidata and convert this into one big frame graph.