-
University of Missouri
- Beijing, China
- linkedin.com/in/wenlong-wu/
Block or Report
Block or report waylongo
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuse-
-
drug-target-interaction Public
Drug-Target Interactions (DTI) for virtual screening, drug repurposing and identification of potential drug side effects.
-
-
My solution to solve the second IEEE-CIS technical challenge
-
umd-feature-extraction Public
Feature extraction on the UMD image dataset
Jupyter Notebook UpdatedSep 12, 2020 -
-
liverpool-ion-switching Public
(top 4%) Kaggle competition to identify the number of channels open at each time point
Jupyter Notebook UpdatedJun 11, 2020 -
gmm-for-early-detection Public
Gaussian mixture model for early detection of pattern changes in data streams
-
-
wids-datathon-2020 Public
(top 5%) Kaggle competition to predict patients' survival after 24 hours in ICU
-
denstream Public
Python implementation of DenStream clustering
-
ashrae-energy-predictor Public
(top 6%) Kaggle competition to predict building energy consume
Jupyter Notebook UpdatedDec 29, 2019 -
ieee-cis-fraud-detection Public
(top 3%) Kaggle competition to detect frauds in bank transactions
-
sp1m-de Public
MATLAB implementation of "Sequential Possibilistic One-Means Clustering with Dynamic Eta"
-
instant-gratification Public
(top 1%) Kaggle competition on classification problem
Jupyter Notebook UpdatedJun 28, 2019 -
lanl-earthquake-prediction Public
(top 1%) Kaggle competition to predict when the earthquake occurs
-
Gans-for-anomaly-detection Public
Using Generative Adversarial Networks (GANs) algorithm to detect outliers on tabular data
-
mnist-cnn-numpy Public
Numpy implementation of the CNN on the MNIST dataset
-
predict-future-sale Public
Kaggle competition using traditional time series analysis, LSTM and XGBoost
-
advanced-meachine-learning Public
Coursera advanced specialization in machine learning
Jupyter Notebook UpdatedOct 25, 2018 -
healthcare_features Public
Healthcare features extraction in Tiger Place using Pandas
-