PavelElk's repositories
CapsNet-Tensorflow
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
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.
dsbook
Repository for data science book
fastai
The fastai deep learning library, plus lessons and and tutorials
flowers
Simple neural net tutorial
IntroNeuralNetworks
Introducing neural networks to predict stock prices
ipython
ipython notebooks for machine learning, code behind work at the blog
Learn_Data_Science_in_3_Months
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
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.
mlcourse.ai
Open Machine Learning Course
practicalAI
A practical approach to learning machine learning.
prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
rnnlib
RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/
tutorials
CatBoost tutorials repository