MitsuruFujiwara

MitsuruFujiwara's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python134k1.1k16.1k26.9k

• jupyterlab/jupyterlab

  JupyterLab computational environment.

  Language:TypeScript14.2k3068.5k3.4k

• rapidsai/cudf

  cuDF - GPU DataFrame Library

  Language:C++8.4k1546.5k900

• firmai/financial-machine-learning

  A curated list of practical financial machine learning tools and applications.

  Language:Python7.2k266151.3k

• neologd/mecab-ipadic-neologd

  Neologism dictionary based on the language resources on the Web for mecab-ipadic

  Language:Shell2.7k12361289

• stanfordmlgroup/ngboost

  Natural Gradient Boosting for Probabilistic Prediction

  Language:Python1.7k44208217

• kaz-ogiwara/covid19

  新型コロナウイルス感染症（COVID-19）の国内における状況を厚生労働省の報道発表資料からビジュアルにまとめた。

  Language:HTML1.1k5735185

• online-judge-tools/oj

  Tools for various online judges. Downloading sample cases, generating additional test cases, testing your code, and submitting it.

  Language:Python1k1734691

• geolonia/japanese-addresses

  全国の町丁目レベル（277,191件）の住所データのオープンデータ

  Language:JavaScript721227451

• ghmagazine/kagglebook

  Language:Python596300212

• bestfitting/kaggle

  Language:Python29413066

• nyanp/nyaggle

  Code for Kaggle and Offline Competitions

  Language:Python292114629

• phalanx-hk/kaggle_pipeline

  Language:Dockerfile27418012

• Lalcs/jpholiday

  日本の祝日を取得するライブラリ

  Language:Python2087914

• JapanExchangeGroup/J-Quants-Tutorial

  J-Quants-Tutorial

  Language:Ruby1676294

• Ynakatsuka/kaggle_utils

  My utility scripts for Kaggle competitions

  Language:Python1205019

• senkin13/kaggle

  Language:Jupyter Notebook874220

• AtsushiSakai/PyRoombaAdapter

  A Python library for Roomba Open Interface

  Language:Python7671622

• MasashiSode/mcs_kfold

  mcs_kfold stands for "monte carlo stratified k fold". This library attempts to achieve equal distribution of discrete/categorical variables in all folds. The greatest advantage of this method is that it can be applied to multi-dimensional targets.

  Language:Python56241

• robinniesert/kaggle-google-quest

  Google QUEST Q&A Labeling Kaggle Competition 6th Place Solution

  Language:Python45209

• masahiro-mochizuki/signate-fundamentals-challange-1st-place

  the first place solution of JPX fundamentals analysis challenge

  Language:Jupyter Notebook412020

• AlpacaTechJP/jpxlab

  Data analysis sandbox for JPX

  Language:Jupyter Notebook291913

• nejumi/tools_for_kaggle

  They are tools for Kaggle competition for me

  Language:Python27202

• upura/nishika-yuho

  Nishika 財務・非財務情報を活用した株主価値予測 2位ソースコード

  Language:Python18101

• nyanp/kaggle-homecredit

  Language:Python173902

• AtsunoriFujita/Jigsaw-Unintended-Bias-in-Toxicity-Classification

  7th Place Solution for Jigsaw Unintended Bias in Toxicity Classification on Kaggle

  Language:Python16201

• AtsunoriFujita/Google-QUEST-QA-Labeling

  16th Place Solution for Google QUEST QA Labeling on Kaggle

  Language:Jupyter Notebook10201

• ninopira/kaggle_m5

  Language:Jupyter Notebook5100

• mhiro2/kaggle-jigsaw-toxicity-classification

  Toxicity classification challenge. (14th place)

  Language:Python4100

• swnakamura/resume

  my Resume

  Language:TeX1000