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label-tree-embedding

Label tree embedding algorithm

lamp

ECML 2019: Graph Neural Networks for Multi-Label Classification

lcfv

Label Consistent Fisher Vectors (LCFV)

lda-pca-facerecognition

Facial Recognition using dimensionality reduction and a linear SVM

lda-qda-mnr

Linear/Quadratic Discriminative Analysis (Predictive Generative Model) and Multinomial Regression (Predictive Discriminative Model)

ldam-drw

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

ldl

Pytorch implementation of "Joint Acne Image Grading and Counting via Label Distribution Learning"

ldl-1

label distribution learning

ldl-lclr

The implementation of "Label Distribution Learning with Label Correlations via Low-Rank Approxlmation".

ldl-scl

The implementation of "Distribution Learning with Label Correlations on Local Samples".

ldlforests

Label Distribution Learning Forest

ldllc

The implementation of "Label Distribution Learning by Exploiting Label Correlations".

ldlsf

The implementation of "Label Distribution Learning with Label-Specific Features".

learning-kernels

Learning kernels with random features

learninghyperspectral

This code implements self-learning classifier using an Autoencoder and a Softmax classifier and attempts to classify crops using hyperspectral data. However our current result do not outperform the state of the art.

learningwithnoisylabels

Implementation of a state-of-art algorithm from the paper “Learning with Noisy Labels” , which is the first one providing “guarantees for risk minimization under random label noise without any assumption on the true distribution.”

lihang-code

《统计学习方法》的代码实现

limo

The code of the LIMO algorithm proposed in our ICML'17 paper "A Unified View of Multi-Label Performance Measures"

llp_elm

A Fast Algorithm for Multi-class Learning from Label Proportions

llsf

Learning label-specific features for multi-label classification (ICDM'15)

lm-mlc

Label Mask for Multi-label Classification

local-feature-preserving-dimensionality-reduction

local-kernel-alignment-based-multi-view-clustering-using-elm

logistic-regression

Matlab implementation of logistic regression with an emphasis on visual representation of decision boundaries. Mainly an instructive tool for first time students to accompany my miniature machine learning course

lsf_ci

复现论文《Multi-Label Learning With Label Specific Features Using Correlation Information》IEEE Access-2019

lstm-autoencoders

Anomaly detection for streaming data using autoencoders

lv_segment

Pre-processing, augmentation and handling of data for use in a neural network for segmentation of LV in MR heart images.

machine-learning-linear-regression

Linear Regression models for predicting restaurant city expansion and for predicting housing prices

machine-learning-logistic-regression

Logistic Regression model to predict student admission into a university

machine-learning-models

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means