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100-days-of-ml-code

100 Days of ML Coding

100-days-of-ml-code-chinese-version

Chinese Translation for Machine Learning Infographics

ccdc

Algorithm developed for Continuous Change Detection and Classification (CCDC) of land cover using all available Landsat data.

classifier-ensembles

MATLAB code for various aspects of classifier ensembles

cyclegan-pytorch

A clean and lucid implementation of cycleGAN using PyTorch

deep-forest

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

deep-rf

Implementation of deep random forests. Also contains random subspace forests and X-of-N forests.

deep_randomforest

Deep features are used for training a random forest in pose estimation application.

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

earthmapper

Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery

gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

hexo-theme-yilia-plus

一个简洁优雅的hexo主题 A simple and elegant theme for hexo.

hyperspectral

Deep Learning for Land-cover Classification in Hyperspectral Images.

image

Sample codes for image processing in C++ and Java.

incremental-oblique-random-forest

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

learngit

libsvm

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

liupeiid.github.io

personal blog

machine_learning_toolbox

A toolbox with several tools for machine learning like SVM, regression, bagging, boosting, random forest…

manjaro

matlabhyperspectraltoolbox

initial cut

mlrfs

Multi-Layer Random Forest [for Image] Segmentation

mlrfswcf

Multi-Layer Random Forest, with Circularity Features, for Image Segmentation

mtlchmm

Multi-temporal land cover maps with a Hidden Markov Model

patternrecognition_matlab

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

pg_curve

Matlab code for computing and visualization: Confusion Matrix, Precision/Recall, ROC, Accuracy, F-Measure etc. for Classification.

pixelclassifier

A single-layer Random Forest model for pixel classification (image segmentation).

pyblique

Oblique Decision Tree implementation in Python