i-am-neo

Pinned Repositories

tmu
Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.
Language:Python131 10 5014
chrome.84.0.4147.105
0 1 00
LLM-NLI-Analysis
Fork of Teddy-Li / LLM-NLI-Analysis
Language:Python0 0 00
whisper_test
0 1 00
Popper
An inductive logic programming system
Language:Python209 19 7237
packages-swipy
Python interface for SWI-Prolog
Language:C44 4 97
MulVOIEL
Language:Python3 1 10

i-am-neo's Repositories

i-am-neo/chrome.84.0.4147.105
0 1 00
i-am-neo/LLM-NLI-Analysis
Fork of Teddy-Li / LLM-NLI-Analysis
Language:Python0 0 00
i-am-neo/whisper_test
0 1 00
i-am-neo/ijcai24-stevie
Céline Hocquette , Sebastijan Dumančić, and Andrew Cropper, Learning logic programs by discovering higher-order abstractions, IJCAI 2024.