Criticality analysis on complex networks using Power-law scaling functions, exponential relations, and phase transitions
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Updated
Mar 26, 2024 - Python
Criticality analysis on complex networks using Power-law scaling functions, exponential relations, and phase transitions
HTM and sparse representation of MNIST
Hierarchical Temporal Memory algorithms with some modifications
An HTM.core-based system for analyzing pediatric medical signals. This project detects patterns and anomalies in vital signs to support clinical decision-making using Hierarchical Temporal Memory models.
A repo for my Honors Research
A barely barebone NumPy implementation of Hierarchical Temporal Memory.
Exploring the Numenta temporal memory algorithm and a Julia implementation of the Nupic version
Hierarchical Temporal Memory (HTM) applied to next token prediction.
Raspberry Pi 4 Unsupervised Real-Time Anomaly Detection for Streaming Data
Hierarchical Temporal Memory implementation for IA's course
Header only NuPIC.core wrapper for low level HTM algorithm abstraction
Hierarchical Temporal Memory implemented in Python 3.7
Implementation of the HTM Model
Machine Intelligence Watanabe is reminded of a phrase in the music that follows.
Community Fork of Numenta's Platform for Intelligent Computing (NuPIC)
Neuron assembly calculus with HTM.jl
C++ port of Nupic HTM with the aim of being lite and fast
The Hierarchical Intrinsically Motivated Agent (HIMA) is an algorithm that is intended to exhibit an adaptive goal-directed behavior using neurophysiological models of the neocortex, basal ganglia, and thalamus.
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