h-atsu

.emacs.d

emacs backup

2048game

adahessian

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

Applied-Physics-Experiments

This is my report of Applied Physics Experiments opened in semester V and VI.

control

control theory

DiffEqPy

Automatic Differentiation library from scratch

flow_learning

Learning flow of ODEs from data

menu_opt

OT_image

image processing using Optimal Transport

shirokane_meetup_opt

h-atsu/OT_image

image processing using Optimal Transport

h-atsu/menu_opt

h-atsu/shirokane_meetup_opt

h-atsu/2048game

h-atsu/control

control theory

h-atsu/DiffEqPy

Automatic Differentiation library from scratch

h-atsu/ImageCaptioning

h-atsu/jax_fwd_grad

h-atsu/KnowledgeInformation

h-atsu/koopman_operator

h-atsu/line-bot-iaafpt

h-atsu/ml_algorithm

h-atsu/nextjs-tutorial

nextjs dashboard tutorial

h-atsu/NLP

非線形じゃないほう

h-atsu/opt_word_map

h-atsu/Optimal-Tree

h-atsu/pentomino

h-atsu/PyOpt

h-atsu/PyOpt_ch6

streamlit implementation of PyOpt_ch6

h-atsu/PyOptBook

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。

h-atsu/pythonmip-machinelearning

h-atsu/riemannian_opt

h-atsu/roadtomizuiro

list AC submission

h-atsu/seven_product_crawler

h-atsu/suzuki_kernel

h-atsu/suzuki_sparse

h-atsu/TSPproblem

TSP modeling with pulp

h-atsu/workflow

h-atsu/zenn-content

documents for zenn

h-atsu/zero-RL

Reinforcement Learningのお勉強