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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

entity-embedding-rossmann

fastai

The fastai deep learning library, plus lessons and and tutorials

flowers

Simple neural net tutorial

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

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

mnist-fashion-cnn

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

urban-invention

yandex-algorithm-ml-track-2018