Showing 1-10 of 10 projects
A comprehensive collection of deep learning, reinforcement learning, and machine learning resources for vibe coders.
This repository provides interview preparation resources for AI and machine learning developers.
An open-source C++ library for Bayesian inference and data analysis using Markov Chain Monte Carlo (MCMC) methods.
A collection of Jupyter notebooks with Python code and notes for the book Pattern Recognition and Machine Learning.
A Python tutorial on Bayesian modeling techniques using the PyMC3 library.
Turing.jl is a powerful Bayesian inference library for probabilistic programming in the Julia language.
GPflow is a Gaussian processes library built on top of TensorFlow, providing tools for Bayesian machine learning.
A Python statistical package based on Pandas, providing various statistical methods and tests.
A Python library for building Bayesian statistical models and performing Bayesian inference.
RStan is an R interface to the Stan probabilistic programming language, used for Bayesian data analysis and inference.
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