Dongfeng Han (handongfeng)

handongfeng

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Dongfeng Han's repositories

leetcode_

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)

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ecg-classification_new

ECG Arrhythmia classification using CNN

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Deep-learning-ECG-The-China-Physiological-Signal-Challenge-2018-champion

The model and the code of The China Physiological Signal Challenge 2018 champion

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mcr2

Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)

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rl-book

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

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FinRL-Library

A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance.

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sktime

A unified toolbox for machine learning with time series

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researchNotes

researchNotes

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t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

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Portfolio

Portfolio of Allen Downey at Olin College

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lihang-code

《统计学习方法》的代码实现

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leetcode-2

Python & JAVA Solutions for Leetcode

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Wide-and-Deep-Keras

Keras implementation of Tensorflow's Wide and Deep Algorithm

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Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

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PySnooper

Never use print for debugging again

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shap

A unified approach to explain the output of any machine learning model.

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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hctsa

Highly comparative time-series analysis code repository

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awesome_time_series_in_python

This curated list contains python packages for time series analysis

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tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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thundergbm

ThunderGBM: Fast GBDTs and Random Forests on GPUs

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Reco-papers

Classic papers and resources on recommendation

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TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

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Keras_Bag_of_Tricks

Bag of Tricks for Image Classification with Convolutional Neural Networks in Keras

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RSPapers

Must-read papers on Recommender System.

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machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接

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