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cse591-practicals

Codes for ASU, CSE591, Spring 2017.

csgm

Code to reproduce results from the paper: "Compressed Sensing using Generative Models".

cuda-convnet

Automatically exported from code.google.com/p/cuda-convnet

curl-for-win

Reproducible curl/libcurl (and OpenSSL) binaries for Windows

cyclegan

Software that generates photos from paintings, turns horses into zebras, performs style transfer, and more (from UC Berkeley)

danmane.github.io

My Github pages

darknet_ros

YOLO ROS: Real-Time Object Detection for ROS

dash-svm

Interactive SVM Explorer, using Dash and scikit-learn

data-analysis

Data Analysis Using Python

data-science-bowl-2018

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

data-science-live-book

An open source book to learn data science, data analysis and machine learning, suitable for all ages!

data-science_projects

Data Science Projects Repository

data-snooping-tests

Code for various data snooping tests on financial time series.

data_science_with_r

dataaspirant_codes

Complete machine learning model codes

datascience-utilities

datascience oriented utilities: histograms, aggregations, plots, data manipulation, and other common tasks.

dataset

The Open Images dataset

dataviscourse-pr-congressrelations

2015 data visualization project trying to visualize relationships among U.S. legislators in voting patterns.

dataviz

A book covering the fundamentals of data visualization.

dawp

Derivatives Analytics with Python (Wiley Finance)

dbda2estan

Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition

dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dcgan_code

Deep Convolutional Generative Adversarial Networks

dcoq

Dark Corners of Q

deblur-gan

Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"

decanlp

The Natural Language Decathlon: A Multitask Challenge for NLP

deconfounder_tutorial

deep-generation

I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.

deep-image-analogy

The source code of 'Visual Attribute Transfer through Deep Image Analogy'.