508shuto

508shuto.github.io

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

astronvim_config

competition_baseline

dezero-from-scratch

github_actions_sample

ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

kaggle-book-gokui

付録コード

kaggle-Cornell-Birdcall-Identification

Cornell Birdcall Identification コンペのリポジトリ

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

keras

誰でも簡単にデータ分析ができるモジュール

localrepository

MLOps-Basics

muana_vol11

pytorch-Deep-Learning

Deep Learning (with PyTorch)

resume.en.github.io

RSNA-MICCAI-Brain-Tumor-Radiogenomic-Classification

test

torch

tuning_playbook

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