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awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

bads

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

bap

Bayesian Analysis with Python (Second Edition)

bayesian-analysis-with-python

《用Python做贝叶斯分析》

eli_research

gaussian-mixture-models

Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR) implemented purely on numpy

geminiprochat

Minimal web UI for GeminiPro.

gmr

Gaussian Mixture Regression

gmrbasedgp

This repository contains the code for GMR-based Gaussian process.

google-gemini

google-gemini2

grnvbem

AR1MA1 - VBEM reverse engineering GRNs method

infbench

Benchmark of posterior and model inference algorithms for (moderately) expensive likelihoods.

julia0p5probabilisticinferenceengine

Basic probability manipulation routines for discrete variables

machine-learning-using-tensorflow-cookbook

Machine Learning Using TensorFlow Cookbook, published by Packt

mini_gtest

C语言100行内仿 GoogleTest 测试框架（以及GitHub笔记）

ml_notes

机器学习算法的公式推导以及numpy实现

netlab

Fork of NETLAB toolbox written by Ian T. Nabney.

netlabel_tools

Tools to manage the Linux NetLabel subsystem

practice-in-paddle

《神经网络与深度学习》案例与实践

prml

PRML algorithms implemented in Python

prmlt

Matlab code of machine learning algorithms in book PRML

pybads

PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python

pymc.io

PyMC project website and blog!

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

pyvbmc

PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python

v2rayn

A GUI client for Windows, support Xray core and v2fly core and others

variational-bayesian-expectation-maximization--matlab

Base Distributions and Examples for Fast VBEM in Matlab

vbmc

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB