Kazuki-Shimizu513
Follow
Starred repositories
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
How to do Bayesian statistical modelling using numpy and PyMC3
"Deep Generative Modeling": Introductory Examples
A delightful community-driven framework for managing your bash configuration, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! W…
🏋️ Python / Modern C++ Solutions of All 3415 LeetCode Problems (Weekly Update)
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
List of Computer Science courses with video lectures.
A complete computer science study plan to become a software engineer.
Docker - Beginners | Intermediate | Advanced
A curated list of automated machine learning papers, articles, tutorials, slides and projects
A curated list of articles that cover the software engineering best practices for building machine learning applications.
The goal of this repository is to enable data scientists and ML engineers to develop data science use cases and making it ready for production use. This means focusing on the versioning, scalabilit…
🔧 .files, including ~/.macos — sensible hacker defaults for macOS
dotfiles for Windows, including Developer-minded system defaults. Built in PowerShell
Anomaly detection related books, papers, videos, and toolboxes
データサイエンス100本ノック（構造化データ加工編）