htm.core VS frugally-deep

Compare htm.core vs frugally-deep and see what are their differences.

htm.core

Actively developed Hierarchical Temporal Memory (HTM) community fork (continuation) of NuPIC. Implementation for C++ and Python (by htm-community)
nupic CPP htm AI hierarchical-temporal-memory neuromorphic-computing neural-networks anomaly-detection Prediction cortical-learning sparse-distributed-memory neuroscience neuroscience-inspired-ai reproducible-research
Source Code
numenta.org
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frugally-deep

Header-only library for using Keras (TensorFlow) models in C++. (by Dobiasd)
Artificial intelligence Tensorflow Deep Learning Keras CPP Cpp14 header-only Library C++ c-plus-plus-14 convolutional-neural-networks Prediction Machine Learning Python keras-models tinyml edge-computing
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htm.core frugally-deep
1 5
144 1,043
2.1% -
4.4 8.0
2 months ago 7 days ago
C++ C++
GNU Affero General Public License v3.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

htm.core

Posts with mentions or reviews of htm.core. We have used some of these posts to build our list of alternatives and similar projects.
  • How Computationally Complex Is a Single Neuron?
    1 project | news.ycombinator.com | 3 Sep 2021
    OK I am still parsing the pre-print, but their approach seems very interesting. And equally interesting would be to see what happens if you apply HTM [1] to the same inputs model, _e.g._:

    > We next applied our paradigm to a morphologically and electrically complex detailed biophysical compartmental model of a 3D reconstructed layer 5 cortical pyramidal cell (L5PC) from rat somatosensory cortex (Fig. 2A). The model is equipped with complex nonlinear membrane properties, a somatic spike generation mechanism and an excitable apical nexus capable of generating calcium spikes

    [1] https://github.com/htm-community/htm.core

frugally-deep

Posts with mentions or reviews of frugally-deep. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-03.

What are some alternatives?

When comparing htm.core and frugally-deep you can also consider the following projects:

chess-deep-rl-cpp - C++ version of my chess-deep-rl project. WIP

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

cppflow - Run TensorFlow models in C++ without installation and without Bazel

tensorflow - An Open Source Machine Learning Framework for Everyone

ITK - Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

tiny-cnn - header only, dependency-free deep learning framework in C++14

AnoGraph - Sketch-Based Anomaly Detection in Streaming Graphs

Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System

bergamot-translator - Cross platform C++ library focusing on optimized machine translation on the consumer-grade device.

Genann - simple neural network library in ANSI C

Seayon - Open source Neural Network library in C++

nano

htm.core vs chess-deep-rl-cpp frugally-deep vs Pytorch htm.core vs cppflow frugally-deep vs tensorflow htm.core vs ITK frugally-deep vs tiny-cnn htm.core vs AnoGraph frugally-deep vs Taskflow htm.core vs bergamot-translator frugally-deep vs Genann htm.core vs Seayon frugally-deep vs nano