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 barely barebone NumPy implementation of Hierarchical Temporal Memory.

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

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

Neuron assembly calculus with HTM.jl

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

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

Bachelor's Degree Final Project

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

HTM implementation on the GPU

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

Hierarchical Temporal Memory implementation for IA's course

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