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baby-steps-of-rl-ja

Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード

conr

Official implementation of CoNR: Collaborative Neural Rendering using Anime Character Sheets

distributed-kfac-pytorch

Distributed K-FAC Preconditioner for PyTorch

geosim4

kfac-jax

Second Order Optimization and Curvature Estimation with K-FAC in JAX.

kfac-pytorch

Pytorch implementation of KFAC and E-KFAC (Natural Gradient).

kyopro_educational_90

2021/3/30 ～ 2021/7/12 に行われる企画「競プロ典型 90 問」の問題・解説・ソースコードなどの資料をアップロードしています。

laplaceae

Laplacian Autoencoders for Learning Stochastic Representations

matsim-example-project

A small example of how to use MATSim as a library.

meiji-optim-theory

Materials for the class entitled "Optimization Theory" held in Meiji University

mlbook

Pythonでゼロから実装して学ぶ機械学習

natural-gradients

Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)

ngd-sgd

A Pytorch Implementation of Natural Gradient Descent

nngeometry

Manipulate {KFAC,EKFAC,Diagonal,Implicit} FIMs and finite width NTKs in PyTorch

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

softwaresystemsdevelopment-8

sumoactivitygen

An Activity-based Multi-modal Mobility Scenario Generator for SUMO. This project is available in the Eclipse SUMO contributed tools section (https://github.com/eclipse/sumo/tree/master/tools/contributed) under the name SAGA (SUMO Activity GenerAtion).

wandb_tutorial