nekoumei/cibook-python external links

---

GitHub - View repository

GitHub.dev - Open in online code editor

Star history - Growth chart over time

deps.dev - Dependencies and security vulnerabilities

Gitingest - Export source code for LLM usage

Repomix - Export source code for LLM usage

uithub - Export source code for LLM usage

Close

nekoumei/cibook-python

Readme badge preview -

If you own this repo, copy the snippet below and add it to your README.md

---

Copy

[![RelatedRepos](https://img.shields.io/badge/related-repos-yellow)](https://relatedrepos.com/gh/nekoumei/cibook-python)

Close

nekoumei / cibook-pythonView on GitHubMore

• External links
• Readme badge

☆55Sep 11, 2021Updated 4 years ago

Alternatives and similar repositories for cibook-python

Users that are interested in cibook-python are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.

• shyaginuma / cibook-study-python

  View on GitHub
  効果検証入門のコードをPythonで実装しました。
  ☆19May 9, 2020Updated 6 years ago
• ghmagazine / ml_design_book

  View on GitHub
  ☆49Sep 26, 2021Updated 4 years ago
• logics-of-blue / book-r-stan-bayesian-model-intro

  View on GitHub
  ☆65Feb 22, 2023Updated 3 years ago
• ghmagazine / cibook

  View on GitHub
  ☆116Nov 24, 2023Updated 2 years ago
• wantedly / machine-learning-round-table

  View on GitHub
  Gather around the table, and have a discussion to catch up the latest trend of machine learning 🤖
  ☆328Jan 9, 2026Updated 5 months ago
• Proton VPN Special Offer - Get 70% off • Ad
  Special partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
• hoto17296 / docker-japanese-nlp

  View on GitHub
  一瞬で(日本語)自然言語処理の分析環境を用意するための Docker イメージ
  ☆17Feb 23, 2018Updated 8 years ago
• oreilly-japan / ml-at-work

  View on GitHub
  電子書籍『仕事ではじめる機械学習』のサポートリポジトリです
  ☆130Aug 7, 2021Updated 4 years ago
• ohmsha / MHBooks

  View on GitHub
  ☆37Apr 12, 2026Updated 2 months ago
• igjit / jvmrr

  View on GitHub
  A toy Java VM in R
  ☆17Jan 11, 2021Updated 5 years ago
• ghmagazine / kagglebook

  View on GitHub
  ☆647Feb 14, 2021Updated 5 years ago
• YutaroOgawa / causal_book

  View on GitHub
  書籍「作りながら学ぶ! PyTorchによる因果推論・因果探索」の実装コードのリポジトリです
  ☆119Apr 21, 2022Updated 4 years ago
• m3dev / redshells

  View on GitHub
  Machine learning tasks which are used with data pipeline library "luigi" and its wrapper "gokart".
  ☆44Nov 25, 2023Updated 2 years ago
• nyk510 / gradient-boosted-decision-tree

  View on GitHub
  GBDT (Gradient Boosted Decision Tree: 勾配ブースティング) のpythonによる実装
  ☆49Dec 7, 2022Updated 3 years ago
• pfnet-research / xfeat

  View on GitHub
  Flexible Feature Engineering & Exploration Library using GPUs and Optuna.
  ☆393Aug 12, 2024Updated last year
• Bare Metal GPUs on DigitalOcean Gradient AI • Ad
  Purpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
• vaaaaanquish / docker-UTH-BERT

  View on GitHub
  docker for UTH-BERT: https://ai-health.m.u-tokyo.ac.jp/uth-bert
  ☆14Mar 24, 2023Updated 3 years ago
• yagays / wikipedia_es_similarity

  View on GitHub
  ☆15Sep 3, 2019Updated 6 years ago
• manzoku23 / M1-Pytorch-Tutorial

  View on GitHub
  Pytorch Tutorial for M1 students. This repository include Encoder Deocder model and Classification model building code.
  ☆12Jun 1, 2022Updated 4 years ago
• m3dev / thunderbolt

  View on GitHub
  gokart file manager
  ☆26May 20, 2026Updated 3 weeks ago
• yagays / fastapi-ml-template

  View on GitHub
  ☆44May 9, 2024Updated 2 years ago
• vaaaaanquish / cloudia

  View on GitHub
  Tools to easily create a word cloud
  ☆113Dec 28, 2020Updated 5 years ago
• rhasumi / dynamicmodels

  View on GitHub
  『動学マクロ経済学へのいざない』プログラム
  ☆22Sep 18, 2025Updated 8 months ago
• koshian2 / PeleeNet-Keras

  View on GitHub
  An Unoffical Implementation of PeleeNet by TensorFlow, Keras
  ☆14Jun 17, 2019Updated 6 years ago
• lutwidse / dexbot-kujira

  View on GitHub
  Good old days / 100万円を稼いだ原資で叩くゴミコード
  ☆12Jul 24, 2022Updated 3 years ago
• Managed Database hosting by DigitalOcean • Ad
  PostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
• MatsuuraKentaro / RStanBook

  View on GitHub
  『StanとRでベイズ統計モデリング』のサポートページです.
  ☆219Feb 17, 2025Updated last year
• arakawatomonori / analyze-poverty

  View on GitHub
  Code for Japanのproj-povertyで貧困問題に関するデータをipynbで分析するためのリポジトリ。誰でも協力歓迎！！
  ☆12Aug 13, 2022Updated 3 years ago
• sammy-suyama / BayesBook

  View on GitHub
  「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
  ☆174Oct 5, 2022Updated 3 years ago
• sischei / OSM2018

  View on GitHub
  ☆11Jul 19, 2018Updated 7 years ago
• HOXOMInc / feature-engineering-book

  View on GitHub
  『機械学習のための特徴量エンジニアリング』のサンプルコード集
  ☆84Oct 9, 2019Updated 6 years ago
• ycrc / Data-Analysis-with-Python

  View on GitHub
  Jupyter Notebooks and Sample Data for the Data Analysis with Python bootcamp
  ☆18Oct 25, 2018Updated 7 years ago
• holiday-jp / holiday_jp-python

  View on GitHub
  Japanese holiday for Python
  ☆17Aug 12, 2024Updated last year
• QuantEcon / ContinuousDPs.jl

  View on GitHub
  Continuous state dynamic programming
  ☆16Updated this week
• yukinaga / lecture_pytorch

  View on GitHub
  YouTubeのライブ講義「【Live!人工知能 】PyTorchで実装するディープラーニング」、およびUdemyコース「PyTorchで実装するディープラーニング」で使用する教材です。
  ☆67Apr 7, 2026Updated 2 months ago
• 1-Click AI Models by DigitalOcean Gradient • Ad
  Deploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
• ThatShelbs / CausalInferenceTimeSeries

  View on GitHub
  Causal Inference for Time Series Data (with CausalML Demo)
  ☆14Jun 11, 2023Updated 3 years ago
• nyanp / streamdf

  View on GitHub
  lightweight, fast and robust columnar dataframe for data analytics with online update
  ☆23Aug 14, 2021Updated 4 years ago
• Yagami360 / MachineLearning_Exercises_Python_TensorFlow

  View on GitHub
  Python＆機械学習ライブラリ TensorFlow の使い方の練習コード集。特にニューラルネットワークを重点的に取り扱い。
  ☆42Mar 28, 2019Updated 7 years ago
• keisukefujii / LXEB_qulacs

  View on GitHub
  Tutorial (in Japanese) on linear cross entropy benchmark using qulacs.
  ☆12Dec 16, 2019Updated 6 years ago
• amaotone / kaggle-memo

  View on GitHub
  Tips for data science competitions (e.g. Kaggle, SIGNATE)
  ☆55Oct 18, 2019Updated 6 years ago
• tkm2261 / kaggle-youtube-porto

  View on GitHub
  Kaggle Tutorial materials
  ☆22Oct 19, 2017Updated 8 years ago
• ohmsha / PyOptBook

  View on GitHub
  岩永二郎・石原響太・西村直樹・田中一樹 共著『Pythonではじめる数理最適化－ケーススタディでモデリングのスキルを身につけよう－』（オーム社、2021年）のサポートページです。
  ☆165Jun 1, 2026Updated 2 weeks ago