Pinned Repositories
22-hub-kr-practice
22년 오픈소스 컨트리뷰션 아카데미 허브 git/github 연습용 레포입니다.
ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
All-About-Time-Series-Analysis
[Advanced] Practical Statistical Inference and Machine/Deep Learning for Time Series Forecasting
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
awesome-mlops
A curated list of references for MLOps
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
chronos-forecasting
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
zerojin91's Repositories
zerojin91/22-hub-kr-practice
22년 오픈소스 컨트리뷰션 아카데미 허브 git/github 연습용 레포입니다.
zerojin91/ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
zerojin91/All-About-Time-Series-Analysis
[Advanced] Practical Statistical Inference and Machine/Deep Learning for Time Series Forecasting
zerojin91/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
zerojin91/awesome-anomaly-detection
A curated list of awesome anomaly detection resources
zerojin91/awesome-mlops
A curated list of references for MLOps
zerojin91/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
zerojin91/awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
zerojin91/chronos-forecasting
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
zerojin91/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
zerojin91/fastcampus-RecSys
2020 패스트캠퍼스 추천시스템 A to Z
zerojin91/genai_project_doc_chat
zerojin91/google_gen_ai_sample
Samples to test the Google's generative AI.
zerojin91/Hack2Skill-AI-Solution
zerojin91/hub-kr
🇰🇷파이토치에서 제공하는 모델 허브의 한국어 번역을 위한 저장소입니다. (Translate PyTorch model hub in Korean🇰🇷)
zerojin91/keras-docs-ko
Korean translation of the Keras documentation.
zerojin91/KGAT-pytorch
zerojin91/knowledge_graph_attention_network
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
zerojin91/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
zerojin91/pyculiarity
A Python port of Twitter's AnomalyDetection R Package
zerojin91/pyod
(JMLR' 19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
zerojin91/pytorch.kr
🇰🇷파이토치 한국 사용자 모임 홈페이지 저장소입니다. (Repo. for PyTorch Korea User Group website🇰🇷)
zerojin91/pytorch_project_template
zerojin91/RSA-CFN
Residual Self-Attention Cross Fusion Network (RSA-CFN)
zerojin91/tabnet-pytorch
PyTorch implementation of TabNet (https://arxiv.org/abs/1908.07442)
zerojin91/test
zerojin91/timeseries_competetion_-agricultural_product
zerojin91/TSFpaper
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.