beijixiong3510

beijixiong3510's Stars

• keras-team/keras

  Deep Learning for humans

  Language:Python62.8k1.9k12.4k19.6k

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.6k285221.8k

• zhouhaoyi/Informer2020

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

  Language:Python5.8k375941.2k

• mohuangrui/ucasthesis

  LaTeX Thesis Template for the University of Chinese Academy of Sciences

  Language:TeX3.6k65434943

• williamleif/GraphSAGE

  Representation learning on large graphs using stochastic graph convolutions.

  Language:Python3.5k77166847

• aliyun/oss-browser

  OSS Browser 提供类似windows资源管理器功能。用户可以很方便的浏览文件，上传下载文件，支持断点续传等。

  Language:JavaScript3.4k55309463

• graphdeeplearning/benchmarking-gnns

  Repository for benchmarking graph neural networks (JMLR 2023)

  Language:Jupyter Notebook2.6k5869455

• linjinjin123/awesome-AIOps

  AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

  1.6k969365

• xinychen/transdim

  Machine learning for transportation data imputation and prediction.

  Language:Jupyter Notebook1.3k3529308

• easezyc/deep-transfer-learning

  A collection of implementations of deep domain adaptation algorithms

  Language:Python918937211

• mbs0221-mlsys/Multitask-Learning

  Awesome Multitask Learning Resources

  659272143

• beyretb/AnimalAI-Olympics

  Code repository for the Animal AI Olympics competition

  Language:Python577417183

• joe-siyuan-qiao/WeightStandardization

  Standardizing weights to accelerate micro-batch training

  547162842

• Jhy1993/Representation-Learning-on-Heterogeneous-Graph

  Representation-Learning-on-Heterogeneous-Graph

  44018084

• aliyun/aliyun-odps-python-sdk

  ODPS Python SDK and data analysis framework

  Language:Python4325017098

• Albertsr/Anomaly-Detection

  UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

  Language:Python2958690

• joansj/hat

  Overcoming catastrophic forgetting with hard attention to the task

  Language:Python21310054

• Luoyonghong/Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks

  NIPS2018 paper

  Language:Python1915467

• beijixiong3510/OWM

  Code for Continual Learning of Context-dependent Processing in Neural Networks

  Language:Python17862043

• ChrisAllenMing/Mixup_for_UDA

  Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).

  Language:Python1626824

• GuansongPang/deviation-network

  Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection, semi-supervised anomaly detection

  Language:Python15141155

• jjdabr/forecastNet

  Code for the paper entitled "ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting"

  Language:Python9771021

• Luoyonghong/E2EGAN

  Language:Python844924

• ChangdeDu/DGMM

  Deep Generative Multi-view Model (DGMM)

  Language:Python352415

• vatsalsharan/pidforest

  Code for the PIDForest algorithm for anomaly detection

  Language:Jupyter Notebook283126

• hongwei-wen/LW-loss-for-partial-label

  Language:Python23225

• nmasse/Context-Dependent-Gating

  Algorithm to alleviate catastrophic forgetting in neural networks by gating hidden units

  Language:Python233113

• lethaiq/GRACE_KDD20

  GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon Lee. 26th ACM SIGKDD Int’l Conf. on Knowledge Discovery and Data Mining (KDD)

  Language:Python21215

• v-mipeng/ClassImbalanceLearning

  This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019

  Language:Jupyter Notebook16308

• xuejianyong/OWM-tf2

  Language:Python7210