TaikiMiyagawa
A deep learner. Early classification of time series, class imbalance.
NEC CorporationJapan
TaikiMiyagawa's Stars
TaikiMiyagawa/FunctionalPINN
This is the official implementation of physics-informed neural networks for functional differential equations (Functional PINN) proposed in ["Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees", NeurIPS 2024].
kimy-de/pinns
Physics-informed neural networks (PINNs)
LeapLabTHU/AdaAFforPINNs
esa/torchquad
Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
Akinori-F-Ebihara/SPRT-TANDEM-PyTorch
Official PyTorch implementation of SPRT-TANDEM.
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
thuml/TimesNet
About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq
jettify/pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
kach/gradient-descent-the-ultimate-optimizer
Code for our NeurIPS 2022 paper
ufoym/imbalanced-dataset-sampler
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Mya-Mya/gdtuo_tf
Implementation of GDTUO, "Gradient Descent: The Ultimate Optimizer" for TensorFlow
Akinori-F-Ebihara/SPRT-TANDEM_tutorial
SPRT-TANDEM hands-on tutorial. (original code: https://github.com/TaikiMiyagawa/MSPRT-TANDEM)
rougier/scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
louisfb01/best_AI_papers_2021
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
Yagami360/machine-learning-papers-survey
機械学習関連の論文Survey用レポジトリ
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
visenger/awesome-mlops
A curated list of references for MLOps
arXivTimes/arXivTimes
repository to research & share the machine learning articles
TaikiMiyagawa/SPRT-TANDEM
Tensorflow 2.0.0 implementation of SPRT-TANDEM
TaikiMiyagawa/MSPRT-TANDEM
TensorFlow 2.0.0 implementation of the LSEL and MSPRT-TANDEM. For PyTorch users: https://github.com/Akinori-F-Ebihara/SPRT-TANDEM-PyTorch
optuna/optuna
A hyperparameter optimization framework
cvlab-yonsei/SFNet
An official implementation of "SFNet: Learning Object-aware Semantic Correspondence" (CVPR 2019, TPAMI 2020) in PyTorch.
auroua/InsightFace_TF
Insight Face on TensorFlow
keras-team/keras
Deep Learning for humans
MinZHANG-WHU/Change-Detection-Review
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
mit-han-lab/temporal-shift-module
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
fkubota/Carrier-Owl
arxiv--> DeepL --> Slack/LINE