xmftweng,github

awesome-anything

General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX

awesome-ensemble-learning

Ensemble learning related books, papers, videos, and toolboxes

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

awesome-shapley-value

Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

combo

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

data-optimization

Data Optimization in Deep Learning: A Survey

deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

elm_regression

Extreme Learning Machine based models for regression

Official implementation of the paper "Estimation of continuous valence and arousal levels from faces in naturalistic conditions", Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos and Maja Pantic, Nature Machine Intelligence, 2021

fastshap

An amortized approach for calculating local Shapley value explanations

fixmatch

A simple method to perform semi-supervised learning with limited data.

geometric-modeling-using-cplusplus

some simple geometric modelling tasks

jekyll-uno-timeline

A Jekyll Theme, based on the Uno-Theme with some adjustments.

lsl4unity

A integration approach of the LabStreamingLayer Framework for Unity3D

machine_learning_code_implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

mina

MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals, IJCAI 2019

neural-network-genetic-algorithm

Evolving a neural network with a genetic algorithm.

nurbs-python

Object-oriented pure Python B-Spline and NURBS library

physiological-signal-classification-papers

A list of papers for physiological signal classification using machine learning/deep learning.

py_fs

A Python Package for Feature Selection

resnet1d

PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

robust-elm-irls

Robust regularized Extreme Learning Machine (ELM) for regression using Iteratively Reweighted Least Squares (IRLS).

shap

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

torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

vat-sat

VAT-SAT

versatile-diffusion

Versatile Diffusion: Text, Images and Variations All in One Diffusion Model, 2022

xai

Dataset of paper 《Analysis of financial pressure impacts on the health care industry with an explainable machine learning method: China verus the USA》

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