Evaluation code for the ACRV Robotic Vision Challenge 1

This is code of book "Learn Deep Learning with PyTorch"

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

A resource repository for 3D machine learning

OKVIS: Open Keyframe-based Visual-Inertial SLAM.

Experimental algorithms. Unsupported.

Numenta Platform for Intelligent Computing: a brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms.

Implementation of core NuPIC algorithms in C++ (under construction)

Regression test suite for NuPIC

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

Open Source Computer Vision Library

Numenta Websites and Platform

Computation using data flow graphs for scalable machine learning

Object detection and segmentation in TensorFlow

https://torch.ch

Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

The code takes as an input a time series vector of calcium observationsand produces samples from the posterior distribution of the underlying spike in continuous time.

Tools for using Numenta/nupic on visual problems like image recognition.

A global, black box optimization engine for real world metric optimization.

Runs NuPIC behind a web server, exposing internals. For HTM School.

Visualizations of Sparse Distributed Representations

HTM based applications and support libraries. Includes Grok for IT Analytics and Grok for Stocks (code name "Taurus").

Class-based implementation of the Nonlinear Input Model (NIM) from Jan 2016-

HTM Challenge 2015

Implementation of the constrained deconvolution spike inference algorithm in Matlab

Public Temporal Streaming Data Service Framework