hierarchical-temporal-memory

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.

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

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

Hierarchical Temporal Memory implemented in Python 3.7

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

Implementation of the HTM Model

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

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

HTM and sparse representation of MNIST

A repo for my Honors Research

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.

HTM implementation on the GPU

Bachelor's Degree Final Project

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

Hierarchical Temporal Memory implementation for IA's course