jfwang1999

jfwang1999's Stars

• garrettj403/SciencePlots

  Matplotlib styles for scientific plotting

  Language:Python7.1k6195708

• locuslab/TCN

  Sequence modeling benchmarks and temporal convolutional networks

  Language:Python4.1k9474873

• kzl/decision-transformer

  Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

  Language:Python2.4k2964447

• numenta/NAB

  The Numenta Anomaly Benchmark

  Language:Jupyter Notebook1.9k119179869

• Farama-Foundation/D4RL

  A collection of reference environments for offline reinforcement learning

  Language:Python1.3k20171279

• tinkoff-ai/CORL

  High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

  Language:Python1.1k1628127

• Minqi824/ADBench

  Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

  Language:Python8631719137

• thuml/Anomaly-Transformer

  About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

  Language:Python734970192

• imperial-qore/TranAD

  [VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

  Language:Python511110153

• Thinklab-SJTU/Crossformer

  Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

  Language:Python45632781

• xuhongzuo/DeepOD

  Deep learning-based outlier/anomaly detection

  Language:Python423102149

• ML4ITS/mtad-gat-pytorch

  PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

  Language:Python32983576

• qingsongedu/Awesome-SSL4TS

  A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).

  27111418

• nikhilbarhate99/min-decision-transformer

  Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym

  Language:Python2421725

• DAMO-DI-ML/KDD2023-DCdetector

  Language:Python17364021

• elicassion/StARformer

  [ECCV2022] [T-PAMI] StARformer: Transformer with State-Action-Reward Representations.

  Language:Python88458

• elisejiuqizhang/TS-AD-Datasets

  Public datasets for time series anomaly detection

  752210

• 962086838/Battery_fault_detection_NC_github

  Language:Jupyter Notebook514211

• huankoh/CST-GL

  Multivariate Time-Series Anomaly Detection with GNN.

  Language:Python43374

• Yu-Lingrui/DTAAD

  Code support as a published paper！

  Language:Python36125

• kaist-dmlab/ARCUS

  Language:Python24225

• lflfdxfn/DPLAN-Implementation

  Paper Implementation

  Language:Python23275

• elisejiuqizhang/RLMSAD

  Reinforcement Learning-Based Model Selection for Anomaly Detection (RLMSAD)

  Language:Python224

• sihohan/FuSAGNet

  Official PyTorch implementation for "Learning Sparse Latent Graph Representations for Anomaly Detection in Multivariate Time Series" (KDD '22)

  Language:Python19165

• Coac-syf/MUTANT

  Language:Python17113

• teo-sl/DPLAN_pytorch

  This repository contains an implementation of an anomaly detection method called DPLAN, which is based on the reinforcement learning framework. The method is described in the paper "Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data" by Pang et al.

  Language:Python10242

• vladim0105/GridHTM

  Language:Python4201

• JakobStruye/HTMRL

  Language:Python31

• unknown-commits/HTM_upmudata_anomaly_detection_prediction

  Language:Jupyter Notebook32

• shivam-131/CLA

  Language:Python20