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zane-chou's Projects

ann-visualizer icon ann-visualizer

A python library for visualizing Artificial Neural Networks (ANN)

bayes-optimization icon bayes-optimization

A lightweight MATLAB implementation of Bayesian Optimization for Hyperparamter optimization with or without constraints.

broadcf icon broadcf

BroadCF (Broad Collaborative Filtering) is one of the BroadRS algorithms, a series of recommendation algorithms based on broad learning system (BLS). It is developed by BroadRS Research Team formed by SCAU, SYSU and SCUT.

cvxpy icon cvxpy

A Python-embedded modeling language for convex optimization problems.

datashine icon datashine

《Python统计与数据分析实战》课程代码,包含了大部分统计与非参数统计和数据分析的模型、算法。回归分析、方差分析、点估计、假设检验、主成分分析、因子分析、聚类分析、判别分析、对数线性模型、分位回归模型以及列联表分析、非参数平滑、非参数密度估计等各种非参数统计方法。

deepfacelab icon deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

deeplearning icon deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deepxde icon deepxde

A library for scientific machine learning and physics-informed learning

disba icon disba

Numba-accelerated computation of surface wave dispersion

disperpicker icon disperpicker

Automatically extracting dispersion curves via deep learning

dispersion-ml icon dispersion-ml

Code for Extracting Dispersion Curves From Ambient Noise Correlations Using Deep Learning

gstools icon gstools

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

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

libsmc icon libsmc

Sequential Monte Carlo and Markov chain Monte Carlo methods for Matlab

mlbop icon mlbop

Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).

mnist icon mnist

使用多种方法解决MNSIT问题

mpmat icon mpmat

MPMAT is a tutotial Material Point Method code implemented in Matlab

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