grseb9s Goto Github PK

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awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

awesome-very-deep-learning

A curated list of papers and code about very deep neural networks

awesome_3d_deep_learning_list

A curated list of papers & resources linked to 3D Deep Learning

awips2

Weather forecasting display and analysis package developed by NWS/Raytheon, released as open source software by Unidata.

aws-shell

An integrated shell for working with the AWS CLI.

azimuth_measurement

Plugin to measure azimuth in a simple way

b.raza-b.sc.-thesis-idl-procedures

IDL Procedures used in the Bachelor's Thesis project: Effects of Spatial Resolution on Measurements of Total Solar Magnetic Surface Flux

backgroundsubtractorcnt

A very fast background subtraction implementation for OpenCV 3.1.0 and above

bag-of-visual-words-python

Implementing Bag of Visual words approach for object classification and detection

bag-of-words

Scene Classification using Bag of Words

bag-of-words-for-scene-classification

Compare various feature extraction techniques and classify using BOG

balu

Toolbox Balu

band-assignment

A toolbox for assigning an hyperspectral image subset to a single multispectral band and perform standard fusion on each group.

band-subset-based-clustering-fusion-for-hyperspectral-imagery-classification

It is the code for paper "Yong-Qiang Zhao ; Lei Zhang ; Seong G. Kong. Band Subset Based Clustering Fusion for Hyperspectral Imagery Classification, IEEE Transactions on Geoscience and Remote Sensing ( Volume: 49, Issue: 2, Feb. 2011 )"

bandicoot-code

Bandicoot: GPU accelerator add-on for the Armadillo C++ linear algebra library

baseliner4

MATLAB code for processing tree sapflow measurements

baseliner4_exe

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

basic-pattern-recognition-using-matlab

These programs are implementing basic pattern recognition algorithms such as knn, bayesian network, Linear Descrimination Function.

basic_machine_learning

This is dedicated to make some contribution to fill in the gap among theorists, data analysts and general algorithm users. If you have any comments on the topics or find any mistakes, shoot me an email. I plan to cover each topic with a brief theoretical introduction, matlab code with deep explanation of the input and output and possible examples.

basic_nns_in_frameworks

several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]

basiss

Broad Area Satellite Imagery Semantic Segmentation

bass-net

Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification

bathymetry

Hyperspectral based bathymetry inversion.

battlefield-simulation

Many battles have been fought during the World Wars. Even today there are several terrorist and insurgency attacks in many cities. Each battle generally has two armies (groups) facing each other. Lanchester had proposed a few models of combat and many battles of the World War 2 have followed those models. Here, we model a fictitious battle between two armies (which follow the combat rules) using cellular automata to look at the various possible outcomes. The rules for the cellular automata will be decided within the scope of the imaginary battlefield that we create.

bayes-scala

Bayesian Networks in Scala

bayesbyhypernet

Code for the paper Implicit Weight Uncertainty in Neural Networks submitted to the Bayesian Deep Learning workshop at NIPS 2017

bayesian

Naive Bayes classifier and Bayesian network classifier C++ implementation

bayesian-1

Reasoning under uncertainty using Bayesian networks