Jonathan-Doe
Passionate about mathematics and statistical learning theory. Machine learning practitioner.
CloudMadeKyiv, Ukraine
Jonathan-Doe's Stars
dmlc/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
cvxpy/cvxpy
A Python-embedded modeling language for convex optimization problems.
scikit-tda/kepler-mapper
Kepler Mapper: A flexible Python implementation of the Mapper algorithm.
peekxc/TDAmapper
(R package) Analyze High-Dimensional Data Using Discrete Morse Theory
erogol/WaveRNN
Pytorch implementation of Deepmind's WaveRNN model
jgperrin/net.jgp.books.spark.ch01
Spark in Action, 2nd edition - chapter 1 - Introduction
karpathy/pytorch-normalizing-flows
Normalizing flows in PyTorch. Current intended use is education not production.
MorvanZhou/Evolutionary-Algorithm
Evolutionary Algorithm using Python, 莫烦Python 中文AI教学
jtoy/awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
tru-hy/rpeakdetect
nicodv/kmodes
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
Yorko/mlcourse.ai
Open Machine Learning Course
Jefferson-Henrique/GetOldTweets-python
A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.