Pinned Repositories
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。
make_classification
The matlab version of 'make_classification' in the Python package 'scikit-learn' for generating synthetic dataset for classification.
emberbillow's Repositories
emberbillow/make_classification
The matlab version of 'make_classification' in the Python package 'scikit-learn' for generating synthetic dataset for classification.
emberbillow/AlltheAlgorithms
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
emberbillow/BlenderGIS
Blender addons to make the bridge between Blender and geographic data
emberbillow/BMA
R package for Bayesian model averaging
emberbillow/Data_for_paper_G3paper_UQ_in_geochemical_mapping
Data for paper "UQ in geochemical mapping"
emberbillow/Efron2020_summary
emberbillow/G2S
A flexible MPS framework
emberbillow/geostatistics-Informed-Machine-Learning
Code for paper
emberbillow/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
emberbillow/gpt4free
decentralising the Ai Industry, just some language model api's...
emberbillow/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.
emberbillow/GStatSim
Geostatistical tools and demos for ice sheet analysis
emberbillow/GSTools
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
emberbillow/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)
emberbillow/Machine-learning-based-software-development
emberbillow/manim
Animation engine for explanatory math videos
emberbillow/mGstat
emberbillow/MinerU
A one-stop, open-source, high-quality data extraction tool, supports PDF/webpage/e-book extraction.一站式开源高质量数据提取工具，支持PDF/网页/多格式电子书提取。
emberbillow/mpslib
A C++ class for Mutiple Point Simulation algorithms
emberbillow/neural-function-distributions
Pytorch implementation of Generative Models as Distributions of Functions 🌿
emberbillow/pulearn
Positive-unlabeled learning with Python.
emberbillow/PyKrige
Kriging Toolkit for Python
emberbillow/quantile-forest
Quantile Regression Forests compatible with scikit-learn.
emberbillow/Random-Forest-from-Scratch
emberbillow/satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
emberbillow/Satellite_Imagery_Analysis
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
emberbillow/streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
emberbillow/superset
Apache Superset is a Data Visualization and Data Exploration Platform
emberbillow/UltraSR-Arbitrary-Scale-Super-Resolution
[Preprint] UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution, 2021
emberbillow/weathering-and-provenance
Data and R scripts for the publication "Major-element composition of sediments in terms of weathering and provenance: implications for crustal recycling"