NuPIC Studio is an all­-in-­one tool that allows users create a HTM neural network from scratch

Overview

NuPIC Studio Logo NuPIC Studio *nix Build Status

NuPIC Studio is an all­-in-­one tool that allows users create a HTM neural network from scratch, train it, collect statistics, and share it among the members of the community. It is not just a visualization tool but an HTM builder, debugger and laboratory for experiments. It is ideal for newbies with little intimacy with NuPIC code as well as experts that wish a better productivity. Among its features and advantages:

  • Users can open, save, or change their "HTM projects" or of other developers. A typical project contains data to be trained, neural network configuration, statistics, etc, which can be shared to be analysed or integrated with other projects.
  • The HTM engine is the own original NuPIC libray (Python distribution). This means no port, no bindings, no re-implementation, etc. So any changes in the original nupic source can be immediatedly viewed. This helps users that wish test improvements like new encoders or even hierarchy, attention, and motor integration.

Screenshot

For more information, see numenta.org or the NuPIC Studio wiki.

Installation

Currently supported platforms:

  • Windows
  • Linux (32/64bit)
  • Mac OSX

Dependencies:

  • Python (2.7 or later)
  • PIP
  • NuPIC
  • NumPy
  • PyQt5

User instructions

If you want only use it, simply do this:

pip install nupic_studio

Note: Dear *nix users, if you get a "permission denied" error when using pip, you may add the --user flag to install to a location in your home directory, which should resolve any permissions issues. Doing this, you may need to add this location to your PATH and PYTHONPATH. Alternatively, you can run pip with 'sudo'.

Once it is installed, you can execute the app using:

nupic_studio

and then click on Open Project button to open any example to getting started with NuPIC.

Developer instructions

If you want develop, debug, or simply test NuPIC Studio, clone it and follow the instructions:

Using command line

This assumes the NUPIC_STUDIO environment variable is set to the directory where the NuPIC Studio source code exists.

cd $NUPIC_STUDIO
python setup.py build
python setup.py develop

Using an IDE

The following instructions will work in the most Python IDEs:

  • Open your IDE.
  • Open a project specifying the $NUPIC_STUDIO repository folder as location.
  • Click with mouse right button on setup.py file listed on project files and select Run command on pop-up menu. This will call the build process. Check output panel to see the result.
  • If the build was successful, just click on program.py and voilà!

If you don't have a favourite Python IDE, this article can help you to choose one: http://pedrokroger.net/choosing-best-python-ide/

Owner
HTM Community
Home for community-led HTM repositories.
HTM Community
Implementation of the pix2pix model on satellite images

This repo shows how to implement and use the pix2pix GAN model for image to image translation. The model is demonstrated on satellite images, and the

3 May 24, 2022
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs

DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs Abstract: Image-to-image translation has recently achieved re

yaxingwang 23 Apr 14, 2022
Code for Multinomial Diffusion

Code for Multinomial Diffusion Abstract Generative flows and diffusion models have been predominantly trained on ordinal data, for example natural ima

104 Jan 04, 2023
Bravia core script for python

Bravia-Core-Script You need to have a mandatory account If this L3 does not work, try another L3. enjoy

5 Dec 26, 2021
A simple rest api that classifies pneumonia infection weather it is Normal, Pneumonia Virus or Pneumonia Bacteria from a chest-x-ray image.

This is a simple rest api that classifies pneumonia infection weather it is Normal, Pneumonia Virus or Pneumonia Bacteria from a chest-x-ray image.

crispengari 3 Jan 08, 2022
TUPÃ was developed to analyze electric field properties in molecular simulations

TUPÃ: Electric field analyses for molecular simulations What is TUPÃ? TUPÃ (pronounced as tu-pan) is a python algorithm that employs MDAnalysis engine

Marcelo D. Polêto 10 Jul 17, 2022
[Nature Machine Intelligence' 21] "Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence"

[UCADI] COVID-19 Diagnosis With Federated Learning Intro We developed a Federated Learning (FL) Framework for global researchers to collaboratively tr

HUST EIC AI-LAB 30 Dec 12, 2022
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

This repository holds NVIDIA-maintained utilities to streamline mixed precision and distributed training in Pytorch. Some of the code here will be included in upstream Pytorch eventually. The intenti

NVIDIA Corporation 6.9k Jan 03, 2023
Python version of the amazing Reaction Mechanism Generator (RMG).

Reaction Mechanism Generator (RMG) Description This repository contains the Python version of Reaction Mechanism Generator (RMG), a tool for automatic

Reaction Mechanism Generator 284 Dec 27, 2022
On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks

On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks We provide the code (in PyTorch) and datasets for our paper "On Size-Orient

Zemin Liu 4 Jun 18, 2022
StyleGAN2-ADA - Official PyTorch implementation

Need Help? If you’re new to StyleGAN2-ADA and looking to get started, please check out this video series from a course Lia Coleman and I taught in Oct

Derrick Schultz 217 Jan 04, 2023
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021 Accepted

NU-Wave — Official PyTorch Implementation NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling Junhyeok Lee, Seungu Han @ MINDsLab Inc

MINDs Lab 242 Dec 23, 2022
Robotics with GPU computing

Robotics with GPU computing Cupoch is a library that implements rapid 3D data processing for robotics using CUDA. The goal of this library is to imple

Shirokuma 625 Jan 07, 2023
Spherical CNNs

Spherical CNNs Equivariant CNNs for the sphere and SO(3) implemented in PyTorch Overview This library contains a PyTorch implementation of the rotatio

Jonas Köhler 893 Dec 28, 2022
HW3 ― GAN, ACGAN and UDA

HW3 ― GAN, ACGAN and UDA In this assignment, you are given datasets of human face and digit images. You will need to implement the models of both GAN

grassking100 1 Dec 13, 2021
The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment

Hailo Model Zoo The Hailo Model Zoo provides pre-trained models for high-performance deep learning applications. Using the Hailo Model Zoo you can mea

Hailo 50 Dec 07, 2022
code for ICCV 2021 paper 'Generalized Source-free Domain Adaptation'

G-SFDA Code (based on pytorch 1.3) for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'. [project] [paper]. Dataset preparing Download

Shiqi Yang 84 Dec 26, 2022
STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)

STEAL This is the official inference code for: Devil Is in the Edges: Learning Semantic Boundaries from Noisy Annotations David Acuna, Amlan Kar, Sanj

469 Dec 26, 2022
ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV2018

ICNet for Real-Time Semantic Segmentation on High-Resolution Images by Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen, Jianping Shi, Jiaya Jia, details a

Hengshuang Zhao 594 Dec 31, 2022