- Beijing, China (Presently Cambridge, UK)
Stars
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
Santander Value Prediction Kaggle Challenge (2018)
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Map Reduce example for Hadoop in Python based on Udacity: Intro to Hadoop and MapReduce
Materials for an online-course - "Practical XGBoost in Python"
Our own implementation of Neural Message Passing for Computer Vision paper
scikit-learn: machine learning in Python
Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)
Build environment and train a robot arm from scratch (Reinforcement Learning)
Python code for "Probabilistic Machine learning" book by Kevin Murphy