Kotaro EZURE's repositories
ssl_baselines_for_biosignal_feature_extraction
Implementations of various published works on self-supervised learning approaches to biosignal feature extraction.
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
deep-learning-with-keras-ja
『直感 Deep Learning』のリポジトリ
Estranged.Lfs
A Git LFS server implementation in C# designed to run in a serverless environment.
examples
A repository to host extended examples and tutorials
interpretable-ml-book
Book about interpretable machine learning
ast
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
AudioMAE
This repo hosts the code and models of "Masked Autoencoders that Listen".
Cross-Modal-Transformer
Official repository of cross-modal transformer for interpretable automatic sleep stage classification. https://arxiv.org/abs/2208.06991
EEG-Datasets
A list of all public EEG-datasets
EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
full-stack-fastapi-postgresql
Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.
git-lfs-s3
Git LFS S3 Storage Service
gsoc-wav2vec2
GSoC'2021 | TensorFlow implementation of Wav2Vec2
mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
SeqSleepNet
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
ssast
Code for the AAAI 2022 paper "SSAST: Self-Supervised Audio Spectrogram Transformer".
time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
tools
set static ip
TOTEM
The official code 👩💻 for - TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
transformer-time-series-prediction
proof of concept for a transformer-based time series prediction model
vertex-pipelines-example
From GoogleCloudPlatform/vertex-pipelines-end-to-end-samples.