Dongfeng Han's repositories
Xgboost-With-Imbalance-And-Focal-Loss
Small project to embed Weighted Imbalanced Loss and Focal Loss to Xgboost
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
tensorflow-windows-wheel
Tensorflow prebuilt binary for Windows
psgd_torch
Pytorch implementation of preconditioned stochastic gradient descent
Coursera-Machine-Learning
Coursera Machine Learning - Python code
Ad-papers
Papers on Computational Advertising
Workshops
NYU Shanghai Library workshops brought to you by Noel Konagai from RITS
EffectiveTensorflow
TensorFlow tutorials and best practices.
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
tf-estimator-tutorials
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way
imgaug
Image augmentation for machine learning experiments.
MGP-RNN
A TensorFlow implementation of "Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier", ICML 2017.
facenet
Face recognition using Tensorflow
MNIST-center-loss
Center loss implementation in Keras
wfdb-app-toolbox
The WFDB Toolbox for MATLAB/Octave is a collection of functions for reading, writing, and processing physiologic signals in the formats used by PhysioNet (see README for details).
seq2seq
Sequence to Sequence Learning with Keras
UCR_Time_Series_Classification_Deep_Learning_Baseline
Fully Convlutional Neural Networks for state-of-the-art time series classification
tsfresh
Automatic extraction of relevant features from time series:
Keras-MNIST-center-loss-with-visualization
An implementation for mnist center loss training and visualization
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
pandas-tutorial
Material for the pandas tutorial at EuroScipy 2016
TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
datacleaner
A Python tool that automatically cleans data sets and readies them for analysis.
Andrew-Ng-ECG
a simple implementation of Arrithymia detection nets
tensorflow
some notes on tensorflow