321YY's repositories
-H1
A series of Jupyter notebooks showing how to load well log and petrophysical data in python.
albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
awesome-causality-algorithms
An index of algorithms for learning causality with data
captum
Model interpretability and understanding for PyTorch
CloudComPy
Python wrapper for CloudCompare
crepes
Conformal regressors and predictive systems
DeepTables
DeepTables: Deep-learning Toolkit for Tabular data
difflogic
A Library for Differentiable Logic Gate Networks
DSE
Software to extract discontinuity sets from rock masses' 3D point clouds
FireflyAlgorithm
Implementation of Firefly Algorithm in Python
interesting-python
有趣、实用的Python🐍
MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
ML-Papers-Explained
Explanation to key concepts in ML
MMseg
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
mplstereonet
Stereonets for matplotlib
Numerical-modeling-of-wing-crack-propagation-accounting-for-fracture-contact-mechanics
Implementation of fracture propagation
Open3D
Open3D: A Modern Library for 3D Data Processing
Open3D-ML
An extension of Open3D to address 3D Machine Learning tasks
PlotNeuralNet
Latex code for making neural networks diagrams
plotnine
A grammar of graphics for Python
py-pde
Python package for solving partial differential equations using finite differences.
PyKrige
Kriging Toolkit for Python
pyqtgraph
Fast data visualization and GUI tools for scientific / engineering applications
rulefit
Python implementation of the rulefit algorithm
skorch
A scikit-learn compatible neural network library that wraps PyTorch
statannotations
add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
traj_anomal_detect
using dbscan cluster to detect anomal trajectories
YLearn
YLearn, a pun of "learn why", is a python package for causal inference