techzzt

lazydocker

The lazier way to manage everything docker

mmdetection

OpenMMLab Detection Toolbox and Benchmark

Dev-Event

🎉🎈 개발자 {웨비나, 컨퍼런스, 해커톤} 행사를 알려드립니다. [with 남송리 삼번지]

Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

Self-Correction-Human-Parsing

An out-of-box human parsing representation extractor.

telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Orion

A machine learning library for detecting anomalies in signals.

ETDataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

random-forest-importances

Code to compute permutation and drop-column importances in Python scikit-learn models

DCL

Destruction and Construction Learning for Fine-grained Image Recognition

unbiased-teacher

PyTorch code for ICLR 2021 paper Unbiased Teacher for Semi-Supervised Object Detection

model-soups

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Meta-DETR

[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation

time-series-papers

An up-to-date list of time-series related papers in AI venues.

CSDI

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

KDD2023-DCdetector

fsnet

CSD-SSD

E2EGAN

DiffAD

Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models, KDD 2023

GA-TCN-LSTM

An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.

MosaicOS

[ICCV 2021] MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection

TSF_Transformers_TFM

Repository containing my Master Thesis for the M.Sc. Big Data Analytics, titled "Time Series Forecasting with Transformers".

TimeSeriesForecast-Transformer

time-series-OOD

Official Code for the ICCPS 2023 conference paper (nominated for best paper award) and ICML 2022 PODS workshop paper.

weakly-supervised-DETR

Official codebase for the WACV 2023 paper: Scaling Novel Object Detection with Weakly Supervised Detection Transformers. https://arxiv.org/abs/2207.05205

time_series_anomaly_detection

Time series anomaly detection via prediction and reconstruction models

TIME_SEREIS_EDA_FEATURE_SELECTION_AND_PREDICITVE_ANALYSIS

machine learning model to predict muder rate in sweden using the swedish crime rate dataset , also perform exploratory data analysis (EDA) and feature selection