kokikwbt

mamba

Mamba SSM architecture

speedbook

書籍『深層ニューラルネットワークの高速化』のサポートサイトです。

ULTRA

A foundation model for knowledge graph reasoning

SliceNStitch

SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams (ICDE'21)

LookOut

Beyond Outlier Detection: LookOut for Pictorial Explanation

gen2Out

Code for paper "gen2Out: Detection and Ranking Generalized Anomalies" (Big Data 2021)

DMM

AutoProfiler

Automatically profile dataframes in the Jupyter sidebar

callmine

pymetis

A Python wrapper around Metis, a graph partitioning package

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

tgrapp

Anomaly Detection and Visualization of Large-Scale Call Graphs

Boolean-Tensor-Factorizations

Personal use

timevis-uplot

Timevis backend with uPlot frontend

tgraph-spot

predictive-maintenance

Datasets for Predictive Maintenance

optuna

A hyperparameter optimization framework

densealert

DenseAlert: Incremental Dense-SubTensor Detection in Tensor Streams (KDD'17)

pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

citibike

StreamingLDA-Copula

Python code for StremaingLDA with Copula

fastapi-ml-template

GRIP

TrafficIndex

TTI ,Smart Transportation Industry Standard

informative-outlier-mining

We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness of OOD detection to various types of adversarial OOD inputs and establishes state-of-the-art performance.

fully-automatic-cross-associations

Python implementation of 2004 paper

GDN

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

CSDI

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

ThermoCast