Pinned Repositories
katsuhiko
卒業制作用のレポジトリ
katzkawai's Repositories
katzkawai/katzkawai.github.io
My Portfolio Site
katzkawai/Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
katzkawai/chatgpt_api
「ChatGPT APIを使ってチャットボットを作ろう！」は、ChatGPTのAPIを使ってチャットボットを構築する方法を学ぶ講座です。
katzkawai/dadjokes
Dad Jokes Web App
katzkawai/DataScience_Interactive_Python
Python interactive dashboards for learning data science
katzkawai/devcontainer-templates-r
Dev Container Templates to use Rocker based Dev Containers. Useful Templates for using R in GitHub Codespaces, etc.
katzkawai/EE_web_apps
web apps to illustrate bits of EE
katzkawai/emacs-writing-studio
Emacs configuration for authors who research, write and publish articles, books and websites.
katzkawai/generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
katzkawai/jsPsych
Create behavioral experiments in a browser using JavaScript
katzkawai/llm_mechanism
katzkawai/microfeed
a lightweight cms self-hosted on cloudflare, for podcasts, blogs, photos, videos, documents, and curated urls.
katzkawai/ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
katzkawai/ml5js00
katzkawai/ml5sample
katzkawai/MyBlog
MyBlog
katzkawai/MyHugo
My Hugo Site
katzkawai/MyJekyll
MyJekyll
katzkawai/MyLektor
My Lektor Site
katzkawai/MyMkDocs
katzkawai/openai-assistants-quickstart
OpenAI Assistants API quickstart with Next.js.
katzkawai/organice
An implementation of Org mode without the dependency of Emacs - built for mobile and desktop browsers
katzkawai/pluralsight-what-is-react
What is React Course at Pluralsight
katzkawai/prompt_engineering
katzkawai/PyCaretBook
katzkawai/python-statistics-essential-training-4433355
This is a repository for the LinkedIn Learning course Python Statistics Essential Training
katzkawai/rails
katzkawai/refcard-org-mode
Org mode syntax reference card
katzkawai/sample02
レポジトリ作成の練習。サンプルその２
katzkawai/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.