sagashin's Stars
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
steprb/Hinton-Coursera-Python
Python version of programming assignments for "Neural Networks for Machine Learning" Coursera course taught by Geoffrey Hinton.
GoogleCloudPlatform/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
wepe/tgboost
Tiny Gradient Boosting Tree
stockedge/netkeiba-scraper
netkeiba.comをスクレイピングして、競馬予測の素性を作成する。
tensorflow/models
Models and examples built with TensorFlow
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
danielfrg/tsne
A python wrapper for Barnes-Hut tsne
keras-rl/keras-rl
Deep Reinforcement Learning for Keras.
jrnold/ggthemes
Additional themes, scales, and geoms for ggplot2
apache/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
ben519/MLPB
Machine Learning Problem Bible | Problem Set Here >>
DataScienceSpecialization/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
tensorflow/tfjs-core
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
AxeldeRomblay/MLBox
MLBox is a powerful Automated Machine Learning python library.
PacktPublishing/Python-Machine-Learning-Cookbook
Code files for Python-Machine-Learning-Cookbook
cran/rattle
:exclamation: This is a read-only mirror of the CRAN R package repository. rattle — Graphical User Interface for Data Science in R. Homepage: https://rattle.togaware.com/
dgrtwo/tidy-text-mining
Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson
harrelfe/Hmisc
Harrell Miscellaneous
swirldev/swirl_courses
:mortar_board: A collection of interactive courses for the swirl R package.
coursera-dl/coursera-dl
Script for downloading Coursera.org videos and naming them.
IPGP/scientific_python_cheat_sheet
simple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work
microsoft/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.