CVNets: A library for training computer vision networks

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

React components for creating SmartHR applications.

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

A Library for Advanced Deep Time Series Models.

PyTorch implementation of SENet

TypeScriptの入門書『サバイバルTypeScript』

素のReact × Redux × firebase で作るECサイト

EC App for demo on Torasemi lessons

Multiclass classification of vibration signals of faulty bearings

Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).

MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.

Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search

Repository for the One class neural networks paper

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)