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.

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

A repo for my Honors Research

HTM and sparse representation of MNIST

Bachelor's Degree Final Project

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

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

HTM implementation on the GPU

Hierarchical Temporal Memory implementation for IA's course