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Qian Qian's Projects

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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.

comet icon comet

[Neurips 2023] A Hierarchical Contrastive Framework for Medical Time-Series

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

ecg-age-prediction icon ecg-age-prediction

Scripts and modules for training and testing neural network for age prediction from the ECG. Companion code to the paper "Deep neural network-estimated electrocardiographic age as a mortality predictor".

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

informer2020 icon informer2020

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

kaggle icon kaggle

Kaggle 项目实战(教程) = 文档 + 代码 + 视频(欢迎参与)

machine-learning-notes icon machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1500+页)和视频链接

prml icon prml

PRML algorithms implemented in Python

pwc icon pwc

Papers with code. Sorted by stars. Updated weekly.

py-l1tf icon py-l1tf

Python implementation of L1 trend filtering algorithm

python icon python

All Algorithms implemented in Python

tf-dann icon tf-dann

Domain-Adversarial Neural Network in Tensorflow

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