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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Updated
Sep 1, 2023 - Python
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.
A tiny yet flexable framework for (HTM) Hierarchical Temporal Memory
HTM 3D Translation Tool for 3d Rendering of HTM Networks
Community Fork of Numenta's Platform for Intelligent Computing (NuPIC)
C++ port of Nupic HTM with the aim of being lite and fast
Neuron assembly calculus with HTM.jl
Hierarchical Temporal Memory implementation for IA's course
Header only NuPIC.core wrapper for low level HTM algorithm abstraction
Machine Intelligence Watanabe is reminded of a phrase in the music that follows.
Implementation of the HTM Model
Hierarchical Temporal Memory implemented in Python 3.7
Criticality analysis on complex networks using Power-law scaling functions, exponential relations, and phase transitions
Hierarchical Temporal Memory (HTM) applied to next token prediction.
Hierarchical Temporal Memory algorithms with some modifications
Exploring the Numenta temporal memory algorithm and a Julia implementation of the Nupic version
Raspberry Pi 4 Unsupervised Real-Time Anomaly Detection for Streaming Data
HTM and sparse representation of MNIST
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