Jonathan-Doe
Passionate about mathematics and statistical learning theory. Machine learning practitioner.
CloudMadeKyiv, Ukraine
Pinned Repositories
xgboost
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
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
discrete_optimization
kepler-mapper
Kepler Mapper: A flexible Python implementation of the Mapper algorithm.
Playground
Here are some of my machine learning projects
pwc
Papers with code. Sorted by stars. Updated weekly.
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
TDAmapper
(R package) Analyze High-Dimensional Data Using Discrete Morse Theory
WaveRNN
Pytorch implementation of Deepmind's WaveRNN model
Jonathan-Doe's Repositories
Jonathan-Doe/awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Jonathan-Doe/discrete_optimization
Jonathan-Doe/kepler-mapper
Kepler Mapper: A flexible Python implementation of the Mapper algorithm.
Jonathan-Doe/Playground
Here are some of my machine learning projects
Jonathan-Doe/pwc
Papers with code. Sorted by stars. Updated weekly.
Jonathan-Doe/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
Jonathan-Doe/TDAmapper
(R package) Analyze High-Dimensional Data Using Discrete Morse Theory
Jonathan-Doe/WaveRNN
Pytorch implementation of Deepmind's WaveRNN model