Python class for training models on imbalanced data using bagging over balanced samples.
-
Updated
Oct 20, 2016 - Python
Python class for training models on imbalanced data using bagging over balanced samples.
Stanford CS231N
A better red envelope machenism for WeChat
TensorFlow implementation of Text-guided Attention for Image Captioning using scheduled sampling as a learning approach. Generates captions to unseen images through an end-to-end process.
A Data Science and Machine Learning approach to predict weather induced airline delays using Random Forest in optimized way by improved predictions using sampling techniques (SMOTE)
Contains my solutions to HackerRank's Real Data Competition 2016
I applied The Thompson Sampling model in both python and R
A short implementation of blue noise sampling for triangle meshes
Statistical Analysis of Professional Photographer’s Estimated Return on Investment (ROI) Turnaround Time. Data mining developed in Python, graphics and analysis developed in R.
Python Script to Sample Images from Video File
A musical score in Python, for Winamp & Autohotkey
Efficient sampling of high dimensional spaces with complex, non-linear constraints
Signal Processing application at Signals and Images (slo. Signali in Slike)
An adaptive implementation of the Metropolis algorithm to sample distributions in high dimensional space
Add a description, image, and links to the sampling topic page so that developers can more easily learn about it.
To associate your repository with the sampling topic, visit your repo's landing page and select "manage topics."