Actively developed Hierarchical Temporal Memory (HTM) community fork (continuation) of NuPIC. Implementation for C++ and Python

Criticality analysis on complex networks using Power-law scaling functions, exponential relations, and phase transitions

Hierarchical Temporal Memory (HTM) applied to next token prediction.

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.

Hierarchical Temporal Memory implemented in Python 3.7

A barely barebone NumPy implementation of Hierarchical Temporal Memory.

A flexable HTM (Hierarchical Temporal Memory) framework with full GPU support.

Exploring the Numenta temporal memory algorithm and a Julia implementation of the Nupic version

Neuron assembly calculus with HTM.jl

Hierarchical Temporal Memory algorithms with some modifications

HTM implementation on the GPU

Raspberry Pi 4 Unsupervised Real-Time Anomaly Detection for Streaming Data

Machine Intelligence Watanabe is reminded of a phrase in the music that follows.

C++ port of Nupic HTM with the aim of being lite and fast

A repo for my Honors Research

A tiny yet flexable framework for (HTM) Hierarchical Temporal Memory

Header only NuPIC.core wrapper for low level HTM algorithm abstraction

HTM and sparse representation of MNIST

Implementation of the HTM Model

Community Fork of Numenta's Platform for Intelligent Computing (NuPIC)