情報検索100本ノック

The Differentiable Cross-Entropy Method

Minimalist ML framework for Rust

https://rust-lang-nursery.github.io/rust-cookbook

Source code for Twitter's Recommendation Algorithm

グラフ道場のページです．

A playbook for systematically maximizing the performance of deep learning models.

Accelerator of Scientific Development and Research. A project template developed by XCCV group of cvpaper.challenge.

How Powerful are Graph Neural Networks?

Quantum Annealing Single-qubit Assessment (QASA)

Companion webpage for the book "Bayesian Optimization" by Roman Garnett

GitHub演習

データサイエンス100本ノック（構造化データ加工編）

Quantitative research and educational materials

lightweight, idiomatic and composable router for building Go HTTP services

System design patterns for machine learning

gRPC tutorial for Japanese readers

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

All files for research proposal and bachelor thesis on Quantum Machine Learning at the University of KwaZulu-Natal in Durban, South Africa.

Curated list of project-based tutorials

Educational blog posts for Rust beginners

A Solution for Preferred Networks Summer Internship 2019 Coding Tasks on Machine Learning

Fast, lightweight graphset operation library

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

Econometrics lecture notes with examples using the Julia language

Code for Machine Learning for Algorithmic Trading, 2nd edition.