david5ive Goto Github PK

2018-n3-double-feature

Sandhya Kambhampati's "The Property Tax Divide analysis with R" and Dirk Eddelbuettel on "Extending R"

20190523

Google Colaboratoryによるネットワーク分析入門

20190728_did

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

arxivtimes

repository to research & share the machine learning articles

autoxgboost

banditsbook

Code for my book on Multi-Armed Bandit Algorithms

bayesbook

「機械学習スタートアップシリーズ ベイズ推論による機械学習入門」のサンプルコード

bayesboost

Bayesian Optimization using xgboost and sklearn API

bert

TensorFlow code and pre-trained models for BERT

bert-japanese

BERT with SentencePiece for Japanese text.

bert_nlp

YouTubeライブの講義「BERTによる自然言語処理を学ぼう!」、およびUdemyコース「BERTによる自然言語処理を学ぼう!」で使用する教材です。

book-tsa-ssm-foundation

書籍「時系列分析と状態空間モデルの基礎：RとStanで学ぶ理論と実装」のサンプルコードとデータ

caffe

Caffe: a fast open framework for deep learning.

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.

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

chainerrl

ChainerRL is a deep reinforcement learning library built on top of Chainer.

changepoints.jl

A Julia package for the detection of multiple changepoints in time series.

cmaverse

A suite of functions for reproducible causal mediation analyses

cognizer

R package to call IBM Watson services.

contextual

Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies

deep-reinforcement-learning-book

書籍「つくりながら学ぶ！深層強化学習」のサポートリポジトリです

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

edarf

exploratory data analysis using random forests

esquisse

RStudio add-in to make plots with ggplot2

flipmultivariates

foundry-es

Biocaddie Data Processing Pipeline. A data ingestion pipeline that collects and transforms original metadata information to a unified metadata model, called DatA Tag Suite (DATS).

ggplot2

An implementation of the Grammar of Graphics in R

howtoanalysis

My Tips and Reference for Data Analysis and Machine Learning

localiv

Estimation of Marginal Treatment Effects from Selection Models