PavelElk's repositories
fastai
The fastai deep learning library, plus lessons and and tutorials
prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
tutorials
CatBoost tutorials repository
mlcourse.ai
Open Machine Learning Course
LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
CapsNet-Tensorflow
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
dsbook
Repository for data science book
practicalAI
A practical approach to learning machine learning.
Learn_Data_Science_in_3_Months
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
IntroNeuralNetworks
Introducing neural networks to predict stock prices
ipython
ipython notebooks for machine learning, code behind work at the blog
rnnlib
RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/
flowers
Simple neural net tutorial