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2015-siggraph-convolutional-ot

J. Solomon, F. de Goes, G. Peyré, M. Cuturi, A. Butscher, A. Nguyen, T. Du, L. Guibas. Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains. ACM Transactions on Graphics (Proc. SIGGRAPH 2015), 34(4), pp. 66:1–66:11, 2015

age

Code for paper "Adversarial Generator-Encoder Networks" by Dmitry Ulyanov, Andrea Vedaldi and Victor Lempitsky

algorithms

Minimal examples of data structures and algorithms in Python

arff

Algebraic Representations for Volumetric Frame Fields

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-learning-papers

awesome-functional-programming

:alien: A curated list of functional programming resources such as blog posts, communities, discussion topics, wikis and more.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

ce-polycube

Source code of SIGGRAPH 2020 paper: Cut-enhanced PolyCube-Maps for Feature-aware All-Hex Meshing

ceres-solver

A large scale non-linear optimization library

codedojo

도장 깨기

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cracking-the-coding-interview

Solutions for the book: Cracking the coding interview V4. Written in C++.

cv

My CV

dagamendment

The official implementation of the research paper "DAG Amendment for Inverse Control of Parametric Shapes"

dcgan-tensorflow

A tensorflow implementation of Deep Convolutional Generative Adversarial Networks

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deeplearningimplementations

Implementation of recent Deep Learning papers

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deepstock

Technical experimentations to beat the stock market using deep learning :chart_with_upwards_trend:

dicom2fem

Generation of finite element meshes using computed tomography scans

discogan-pytorch

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

doc_korean

쥴리아 한국어 번역

dotfiles

dotfiles

dotfiles-1

YADR - The best vim,git,zsh plugins and the cleanest vimrc you've ever seen

easy-deep-learning-with-keras

Keras tutorial for beginners (using TF backend)

epijudge

EPI Judge - Preview Release

fast-style-transfer

Fast Style Transfer in TensorFlow! ⚡🖥🎨🖼