This is your work, valued

Silicon Valley

WeiminWang

Elite
@aaxwaz

TalkingMachines. TalkingMachines

178

Multivariate-Time-Series-forecast-using-seq2seq-in-TensorFlow. Jupyter Notebook

150

Fraud-detection-using-deep-learning. Jupyter Notebook

114

Humpback-whale-identification-challenge. 5th Winning solution for Humpback whale identification

48

Serving-TensorFlow-Model. Train, save and serve a linear regression model in TensorFlow

32

Image-Captioning-Model-in-TensorFlow. Python

27

Inclusive-Image-Challenge-Winning-Solution. Python

16

kaggle-Otto-Group-Competition-NNs-Model-. This is our team best Neural Network model we use to combine with xgb model. The single NN model can give a leadership board of around 0.43, and a simple linear combination of 10NNs will give around 0.426.

9

My-samples-of-visualization-in-R. Some practical samples of visualization in R language

9

Caterpillar-Tube-Pricing-Kaggle. R

6

NUS_ISS_DeepLearningWorkshop. Public Repo for NUS ISS Deep Learning workshop

3

avatar-fx-page. HTML

2

Kaggle_HelpingSanta-sHelper. Basic solution (always assign tasks with high duration to elfs with high productivity, and vise versa)

2

lbForth. Self-hosting metacompiled Forth, bootstrapping from a few lines of C; targets Linux, Windows, ARM, RISC-V, 68000, PDP-11, asm.js.

1

A-Study-On-NYC-MTA-Turnstile-Usage-Dataset. Jupyter Notebook

1

Deep-Learning-Boot-Camp. A community run, 5-day PyTorch Deep Learning Bootcamp

1

Facebook-Recruiting-IV-Human-or-Robot-. Final solution for Facebook Recruiting IV competition on kaggle

1

Kaggle-Statoil-Iceberg-Classifier-ConvNets. ConvNet for Kaggle Statoil/C-CORE Iceberg Classifier Challenge, handling multi-inputs with augmentations on two channels

1

kapre. kapre: Keras Audio Preprocessors

1

Kaggle_HomeDepot_Stacking. Python stacking scripts for Kaggle competition

1

Ovi. JavaScript

1

ZaloraDataScience. Technical questions solutions for Zalora Data Scientist position

1

Statistics.Inference.Class.Sample.R. R

1

pydata-nyc-advanced-sklearn. Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.

1