leoota Goto Github PK
Name: Leo Ota
Type: User
Bio: Born in 1988. Research Scientist. For 5 years and more, I handled human movement data. I am accustomed to using RStudio, Matlab, python, Visual Studio (C++)
Name: Leo Ota
Type: User
Bio: Born in 1988. Research Scientist. For 5 years and more, I handled human movement data. I am accustomed to using RStudio, Matlab, python, Visual Studio (C++)
Keras library for building (Universal) Transformers, facilitating BERT and GPT models
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
"Distributions" that might not add to one.
Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatics)
Grafana Mimir provides horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus.
Models and examples built with TensorFlow
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.
Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow
Automated arousal detection model
pyedflib is a python library to read/write EDF+/BDF+ files based on EDFlib.
Unsharp Masking (USM) Layer, a new layer for deep learning that preprocesses the images with USM but optimizes the filter automatically
R for data science: a book
A library for training and deploying machine learning models on Amazon SageMaker
The source code of our WACV2020 paper "Self-Contained Stylization via Steganographyfor Reverse and Serial Style Transfer".
A game theoretic approach to explain the output of any machine learning model.
Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"
A library with tools for EEG analysis. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021000753
A software update framework for macOS
Taming Transformers for High-Resolution Image Synthesis
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
TensorFlow for R
Computation using data flow graphs for scalable machine learning
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
[Code] Trace Norm Regularised Deep Multi-Task Learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.