helloworldwq's repositories
bandits
Python library for Multi-Armed Bandits
youtube8mchallenge
1st place solution to Kaggle's 2018 YouTube-8M Video Understanding Challenge
toxic-comment-classification
Code and write-up for the Kaggle Toxic Comment Classification Challenge
scholar.py
A parser for Google Scholar, written in Python
LeetCode-1
:pencil2: LeetCode solutions in C++ 11 and Python3
kaggle_ndsb2017
Kaggle datascience bowl 2017
tensorflow_speech_recognition_solution
code for 3rd place kaggle tensorflow competition
KerasGAN
A couple of simple GANs in Keras
gscholar
Query Google Scholar with Python
LeetCode-2
:monkey:LeetCode、剑指Offer刷题笔记（C/C++、Python3实现）
awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
the-gan-zoo
A list of all named GANs!
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
lc-all-solutions
My own leetcode all solutions by python
matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
2017-ot-beginners
Optimal Transport for Dummies - Code, slides and article
POT
Python Optimal Transport library
2014-JMIV-SlicedTransport
N. Bonneel, J. Rabin, G. Peyré, H. Pfister. Sliced and Radon Wasserstein Barycenters of Measures. Journal of Mathematical Imaging and Vision, 51(1), pp. 22–45, 2015.
2014-SISC-BregmanOT
J-D. Benamou, G. Carlier, M. Cuturi, L. Nenna, G. Peyré. Iterative Bregman Projections for Regularized Transportation Problems. SIAM Journal on Scientific Computing, 37(2), pp. A1111–A1138, 2015.
2015-SIIMS-wasserstein-dual
M. Cuturi, G. Peyré. A Smoothed Dual Approach for Variational Wasserstein Problems. SIAM Journal on Imaging Sciences, 9(1), pp. 320–343, 2016.
2015-SIIMS-wasserstein-jko
Gabriel Peyré. Entropic Approximation of Wasserstein Gradient Flows. SIAM Journal on Imaging Sciences, 8(4), pp. 2323–2351, 2015
MVPAtesting
Code to compute FuA.
leetcode
The optimum C++ solutions for the leetcode
2016-ICML-gromov-wasserstein
Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.
decoding-brain-challenge-2016
Code and documentation for the winning solution to the Decoding Brain Signals Cortana challenge
DecMeg2014-1
Code and documentation for the winning solution to the DecMeg2014 challenge https://www.kaggle.com/c/decoding-the-human-brain
2S-TL
A two-stage transfer learning code in MATLAB
decmeg
2nd place submission to the MEG decoding competition https://www.kaggle.com/c/decoding-the-human-brain
DecMeg2014
Official Repository of the code associated with the data analysis competition DecMeg2014