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hkcaesar's Projects

covariate-shift-adaption icon covariate-shift-adaption

An example of using a discriminator to correct for a difference in the distributions between the training and test data.

crow icon crow

Scalable multi-GPU approach to non-negative matrix tri-factorization.

cs205_2017_project icon cs205_2017_project

This repository was created in partial fulfillment of the requirements of CS 205 in Spring 2017.

ctsm icon ctsm

Community Terrestrial Systems Model (includes the Community Land Model of CESM)

cub icon cub

CUB is a flexible library of cooperative threadblock primitives and other utilities for CUDA kernel programming.

cubature icon cubature

multi-dimensional adaptive integration (cubature) in C

cubature-1 icon cubature-1

Python wrapper for the Cubature algorithm explained in: http://ab-initio.mit.edu/wiki/index.php/Cubature

cuda icon cuda

all our working cuda codes

cuma-2013 icon cuma-2013

Massively parallel regularized 3D inversion of potential fields on CPUs and GPUs by Cuma and Zhdanov, 2013

cumf_als icon cumf_als

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

cuvarbase icon cuvarbase

Python library for fast time-series analysis on CUDA GPUs

cv4ag icon cv4ag

Computer vision application over satellite RGB tiles for agricultural land detection

d-amp_toolbox icon d-amp_toolbox

This packages contains the code to run the BM3D, BM3D-SAPCA, BLS-GSM, and NLM variants of the D-AMP, D-VAMP, and D-prGAMP algorithms.

dash icon dash

Interactive, reactive web apps in pure python :star:

data-visualization-with-deep-learning icon data-visualization-with-deep-learning

The last results of deep learning researches have initiate new waves of questions, wonders. One of them is how can, the deep learning, help the production and understanding of data visualization.

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