Shota Nishiyama's starred repositories
stable-diffusion
A latent text-to-image diffusion model
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
pytorch_misc
Code snippets created for the PyTorch discussion board
outlier-exposure
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
ViTAE-Transformer-Remote-Sensing
A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP
aws-ml-enablement-workshop
組織横断的にチームを組成し、機械学習による成長サイクルを実現する計画を立てるワークショップ
convolution-visualizer
Convolution visualizations
bert-classification-tutorial
【2023年版】BERTによるテキスト分類
pytorch.github.io
The website for PyTorch
Detection-of-Traffic-Anomaly
This is the repo for our Detection of Traffic Anomaly (DoTA) dataset.
EfficientNet-PyTorch-3D
A PyTorch implementation of EfficientNet
time-domain-neural-audio-style-transfer
NIPS2017 "Time Domain Neural Audio Style Transfer" code repository
Driver-Anomaly-Detection
PyTorch Implementation of "Driver Anomaly Detection: A Dataset and Contrastive Learning Approach", codes and pretrained models.
ToyADMOS-dataset
Dataset and its sample codes for anomaly detection in sound.
DCUnet.pytorch
Phase-Aware Speech Enhancement with Deep Complex U-Net
ComplexAutoEncoder
Code for the paper: Complex-Valued Autoencoders for Object Discovery
Complex-Neural-Networks
Implementation of Complex Valued Neural Networks in Pytorch 🧠
kinetics-dataset-downloader
Kinetics dataset downloader
DCASE2020_Task2_Solution-Anomaly_detection-
DCASE2020 Task2 Self-supervised learning solution
keras_multiple_target_recognition
keras_multi_target_signal_recognition Underwater single channel acoustic multiple targets recognition using ResNet, DenseNet, and Complex-Valued convolutional nerual networks. keras-gpu 2.2.4 with tensorflow-gpu 1.12.0 backend.