Seitaro Yoneda's repositories
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
SSDA_MME
Semi-supervised Domain Adaptation via Minimax Entropy
bocd
Python implementation of Bayesian online changepoint detection
Bayesian_Statistical_Modeling_with_Stan_R_and_Python
Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
EMSSL
[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
bayesian-online-changepoint-detection-for-multivariate-point-processes
Implementation of Log Gaussian Cox Process in Python for Changepoint Detection using GPFlow
online_adaptation_to_label_distribution_shift
Code repo for the NeurIPS 2021 paper "Online Adaption to Label Distribution Shift".
Weeee
J班の後期のプロダクト
meta-transfer-learning
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
flutter_firebase_chat_core
Actively maintained, community-driven Firebase BaaS for chat applications with an optional chat UI.
variational-beam-search-neurips2021
Official code repository for NeurIPS 2021 paper: Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning.
python-getting-started
Getting Started with Python on Heroku.
neural-statistician
PyTorch Implementation of Neural Statistician
pytrigno
Simple Python interface to the Delsys wireless EMG system
domain_adaptation_of_linear_classifiers
Learning algorithm described in "A New PAC-Bayesian Perspective on Domain Adaptation" (see http://arxiv.org/abs/1506.04573)