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the-gan-zoo

A list of all named GANs!

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

thesemicolon

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

thesis

motion-based objectness

time_series

timeseriesanalysis

Statistical and ML models for time series analysis combined with data cleaning, data visualization and statistical inference

tips-of-feature-engineering

A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!

top-solutions-of-data-mining-competitions

Many source codes (Top10) in Data Mining Competition of me and my teammates

tproduct

tensor-tensor product toolbox

tusimple-benchmark

TuSimple Benchmark

tutorials

A tutorial series by Preferred.AI

twde-datalab

Onboarding to data science by ThoughtWorks

unet

unet for image segmentation

unreliableattributes

"Zero-shot recognition with unreliable attributes" paper implementation

unsupervised-capsule-network

Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf

unsupervised-image-retrieval

Unsupervised image retrieval on MNIST dataset using a convolutional autoencoder

url

baacloud

user-loan-risk-prediction

马上AI全球挑战者大赛 rank 1st

util3d

vector_similarity

Python, Java implementation of TS-SS called from "A Hybrid Geometric Approach for Measuring Similarity Level Among Documents and Document Clustering"

wasserstein-gan-on-mnist

This is a simple Chainer implementation of the Wasserstein GAN on MNIST digits.

wavenet

Keras WaveNet implementation

wsddn

Weakly Supervised Deep Detection Networks (CVPR 2016)

xbat-devel

Automatically exported from code.google.com/p/xbat-devel

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

z_knowledge_graph

Bulding kg from 0

zero-shot-hashing

Code for "Zero-shot Hashing via Supervised Knowledge"