Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
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Dec 3, 2024 - Python
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Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
Actively developed Hierarchical Temporal Memory (HTM) community fork (continuation) of NuPIC. Implementation for C++ and Python
A flexable HTM (Hierarchical Temporal Memory) framework with full GPU support.
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.
A barely barebone NumPy implementation of Hierarchical Temporal Memory.
A tiny yet flexable framework for (HTM) Hierarchical Temporal Memory
Community Fork of Numenta's Platform for Intelligent Computing (NuPIC)
Neuron assembly calculus with HTM.jl
Raspberry Pi 4 Unsupervised Real-Time Anomaly Detection for Streaming Data
Exploring the Numenta temporal memory algorithm and a Julia implementation of the Nupic version
Hierarchical Temporal Memory implemented in Python 3.7
Implementation of the HTM Model
Header only NuPIC.core wrapper for low level HTM algorithm abstraction
HTM and sparse representation of MNIST
A repo for my Honors Research
C++ port of Nupic HTM with the aim of being lite and fast
Hierarchical Temporal Memory (HTM) applied to next token prediction.
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.
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