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Jia Xudong's Projects

ancde icon ancde

Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting

anoddpm icon anoddpm

CVPR Workshop paper - AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise

anomaly-transformer icon anomaly-transformer

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

beatgan icon beatgan

Using BeatGAN for Anomaly detection on SMD and Exathlon datasets

causal-learn icon causal-learn

Causal Discovery in Python. Translation and extension of the Tetrad Java code.

causalai icon causalai

Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data

cgnn icon cgnn

Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"

cikm22-tfad icon cikm22-tfad

Source code of CIKM'22 paper: TFAD: A Decomposition Time Series Anomaly Detection Architecture with Frequency Analysis

climax icon climax

Foundation model for weather & climate

coca icon coca

Deep Contrastive One-Class Time Series Anomaly Detection

coding-interview-university-1 icon coding-interview-university-1

一个国外大神,每天8~12个小时,自学了几个月后,加入了Google。随后他公开了他的学习主题清单。在做完这份清单上的每个目标后,他成为了Google的软件开发工程师! 这份清单包含了几乎所有的成为优秀工程师的知识。另外这里面还有他的经历“我为了 Google 面试而自学了8个月”。 在这份清单内的主题会让你拥有足够的知识去面对几乎每家软件公司的技术面试,包括科技巨头:Amazon、Facebook、Google,以及 Microsoft。当然如果你在国内,腾讯、华为、阿里巴巴、字节跳动也不在话下了。

data-smith icon data-smith

A repository of datasets, preprocessing scripts, and visualization tools for time series analysis tasks (i.e., anomaly detection).

deepctr-torch icon deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

derecho icon derecho

The main code repository for the Derecho project.

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