Ben Dai (statmlben)

statmlben

Geek Repo

Company:The Chinese University of Hong Kong

Location:Hong Kong SAR

Home Page:www.bendai.org

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Ben Dai's starred repositories

aabeliuk.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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emoji-cheat-sheet

A markdown version emoji cheat sheet

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awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

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causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

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sliced

sliced: scikit-learn compatible sufficient dimension reduction

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awesome-reMarkable

A curated list of projects related to the reMarkable tablet

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awesome-imbalanced-learning

😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库

License:CC0-1.0Stargazers:1310Issues:0Issues:0

xournalpp

Xournal++ is a handwriting notetaking software with PDF annotation support. Written in C++ with GTK3, supporting Linux (e.g. Ubuntu, Debian, Arch, SUSE), macOS and Windows 10. Supports pen input from devices such as Wacom Tablets.

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scikit-plot

An intuitive library to add plotting functionality to scikit-learn objects.

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rmview

A live viewer for reMarkable written in PyQt5

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annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

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implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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lofo-importance

Leave One Feature Out Importance

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Multi-label-Paper

This document covers various papers about multi-label for reference

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bibtex-python-package-citations

BibTeX citations for Python and common (machine learning) packages.

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Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

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DeepCovidXR

A deep learning artificial intelligence model to detect COVID-19 on chest X-rays

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DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.

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GNNPapers

Must-read papers on graph neural networks (GNN)

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innvestigate

A toolbox to iNNvestigate neural networks' predictions!

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XAI

Prototyping about eXplainable Artificial Inteligence (XAI)

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lime

Lime: Explaining the predictions of any machine learning classifier

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metric-learn

Metric learning algorithms in Python

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imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

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SegLossOdyssey

A collection of loss functions for medical image segmentation

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MedMNIST

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

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Keras-Class-Activation-Map

Class Activation Map using Keras

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ECGClassifier

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

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shap

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

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cuml

cuML - RAPIDS Machine Learning Library

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