Jiwei Liu — Vaya

tradeshift-text-classification. This is the 1st place solution of a kaggle machine contest: Tradeshift Text Classification. http://www.kaggle.com/c/tradeshift-text-classification

150

light-ffm. C++

108

rapids-ai-BBO-2nd-place-solution. Python

71

kaggle_Microsoft_Malware. code for kaggle competition Microsoft malware classification

42

stack-nn-tensorflow. Python

26

kaggle-review. Python

24

Rapids_PLAsTiCC_2018. Jupyter Notebook

11

triton_amex. Jupyter Notebook

9

Rapids-microsoft-malware. Jupyter Notebook

8

notebooks-extended. RAPIDS Community Notebooks

8

learn-tensorflow-by-examples. Jupyter Notebook

6

santander. Jupyter Notebook

6

Grasp-and-Lift. Python

4

ML-Paper-Reproduce. Python

3

notebooks. RAPIDS Sample Notebooks

3

rapids_nips_blog. Jupyter Notebook

3

tf-cnn. Python

3

light-ffm-scripts. Python

2

odsc-hackathon-webinar-demo-notebooks. Jupyter Notebook

2

PCQM4Mv2_subs. Python

2

Coupon-Purchase-Prediction. Python

2

kaggle_higgs. My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)

2

genentech. Python

2

bayesmark. Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks

2

kaggle_utils. utilities for ml competitions like kaggle

1

avito. Python

1

Facebook-V. Cleaned code of the winning submission

1

pdacookbook. Python Pandas Cookbook

1

Kaggle-OTTO-Comp. Jupyter Notebook

1

rapids_for_kaggle. Jupyter Notebook

1

bnp. Python

1

rapids-demos. Jupyter Notebook

1

kaggle-allstate. Predict a purchased policy based on transaction history.

1

Dato-Sponsored-Page-Prediction. Python

1

Facial-Keypoints-Detection. Python

1