kokikwbt
Assistant Professor working on knowledge discovery from data streams
SANKEN, University of OsakaJapan
kokikwbt's Stars
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
KoheiObata/ThermoCast
jmarecek/OnlineLDS
Source code for the AAAI 2019 paper "On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters" (https://arxiv.org/abs/1809.05870)
yannick-cw/notionfy
Syncing kindle highlights to notion
dillonalaird/pysvihmm
Implementation of stochastic variational inference for Bayesian hidden Markov models.
Michaelvll/DeepCCA
An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.
MLSurvival/MTLSA
A Multi-Task Learning Formulation for Survival Analysis
pbrakel/anica
Adversarial Non-linear Independent Component Analysis
jaredleekatzman/DeepSurv
DeepSurv is a deep learning approach to survival analysis.
blei-lab/onlineldavb
Online variational Bayes for latent Dirichlet allocation (LDA)
facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Jingjing-NLP/VOLT
Code for paper "Vocabulary Learning via Optimal Transport for Neural Machine Translation"
mapr-demos/predictive-maintenance
Demonstration of MapR for Industrial IoT
umbertogriffo/Predictive-Maintenance-using-LSTM
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
DeeptiChevvuri/Predictive-Maintenance-Modelling-Datasets
This model comprises of Manufacturing units dataset , sources are telemetry , machine failure , error logs , maintenance and machines configuration(age).
omlstreaming/grc-datasets-pred-maintenance
Public (anonymized) predictive maintenance datasets from Huawei German Research Center.
KoheiObata/FingerPrint
kokikwbt/scpp
A Study on SCPP: Shared Cascade Point Process
dallascard/neural_topic_models
Code to accompany "A Neural Framework for Generalized Topic Models"
numarrsh/tsntm
cezhang01/Adjacent-Encoder
Source code of the AAAI-2020 paper "Topic Modeling on Document Networks with Adjacent-Encoder"
sczhou/IGNN
[NeurIPS 2020] Cross-Scale Internal Graph Neural Network for Image Super-Resolution
kokikwbt/MLDS
Python implementation of multilinear dynamical systems for tensor time series (NIPS'13)
kokikwbt/ssmf
hayato0311/binance-auto-trading
バイナンスAPIを用いた自動売買AI
kokikwbt/dcmf
Python implementation of Dynamic Contextual Matrix Factorization (SDM'15)
WANGXinyiLinda/Neural-Topic-Model-with-Attention-for-Supervised-Learning
This the repository for the AISTATS 2020 paper Neural Topic Model with Attention for Supervised Learning.
nnzhan/MTGNN
microsoft/StemGNN
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.