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allthealgorithms

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

arcsdm

Spatial Data Modeler 5 for ArcGis pro

autobel-v1.0

This is the repository for the Auto-BEL implementation in Python

autoencoder

个人练习，自编码器及其变形（理论+实践）

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-remote-sensing-dataset

Remote Sensing Dataset

blendergis

Blender addons to make the bridge between Blender and geographic data

bma

R package for Bayesian model averaging

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

data_for_paper_g3paper_uq_in_geochemical_mapping

Data for paper "UQ in geochemical mapping"

deep-learning-experiments

Notes and experiments to understand deep learning concepts

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

efron2020_summary

ensemblebma

:exclamation: This is a read-only mirror of the CRAN R package repository. ensembleBMA — Probabilistic Forecasting using Ensembles and Bayesian Model Averaging

g2s

A flexible MPS framework

geostatistics-informed-machine-learning

Code for paper

geostatspy

GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz

gpt4free

decentralising the Ai Industry, just some language model api's...

gramm

Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.

gstools

GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more

isolation_forest_from_scratch

Implementation of iForest Algorithm for Anomaly Detection from scratch

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

lihang-code

《统计学习方法》的代码实现

lite.ai.toolkit

Lite.AI.ToolKit 🚀🚀🌟: A lite C++ toolkit of awesome AI models(一个开箱即用的C++ AI工具箱，支持ONNXRuntime/NCNN/MNN/TNN), such as RobustVideoMatting🔥, YOLOX🔥, YOLOP🔥 etc. (https://github.com/DefTruth/lite.ai.toolkit/releases/tag/v0.1.0)

machine-learning-based-software-development

machinelearning_zhouzhihua_problemsets

Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题，个人解答。各算法都拿numpy和pandas实现了一遍

make_classification

The matlab version of 'make_classification' in the Python package 'scikit-learn' for generating synthetic dataset for classification.

manim

Animation engine for explanatory math videos

mgstat