Repository Index

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

• bayesian-methods
• pymc
• mathematical-analysis
• jupyter-notebook

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

Machine learning, in numpy

• machine-learning
• neural-networks
• topic-modeling
• gaussian-mixture-models

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

• machine-learning
• deep-learning
• deep-neural-networks
• pattern-recognition

Bayesian Modeling and Probabilistic Programming in Python

• python
• statistical-analysis
• bayesian-inference
• mcmc

Deep universal probabilistic programming with Python and PyTorch

• python
• pytorch
• machine-learning
• bayesian

A Python implementation of global optimization with gaussian processes.

• optimization
• gaussian-processes
• bayesian-optimization
• python

Automated Machine Learning with scikit-learn

• automl
• scikit-learn
• automated-machine-learning
• hyperparameter-optimization

Bayesian optimization in PyTorch

Python Toolkit for Causal and Probabilistic Reasoning

• python
• bayesian-networks
• causal-inference
• causal-discovery

A modular active learning framework for Python

• scikit-learn
• machine-learning
• python
• active-learning

Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.

• latex
• machine-learning

Exploratory analysis of Bayesian models with Python

• python
• bayesian
• closember

Spearmint Bayesian optimization codebase

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

• bayesian-optimization
• bayesian-optimisation
• hyperparameter-optimization
• hyperparameter-tuning

A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself. New implementation in http://github.com/probcomp/bayeslite

Naive Bayesian Classification for Golang.

A general classifier module to allow Bayesian and other types of classifications. A fork of cardmagic/classifier.

• ruby
• rubyml
• bayesian-classifier

Python package for Bayesian Machine Learning with scikit-learn API

• python
• bayesian-machine-learning
• machine-learning
• scikit-learn

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

• semantic-segmentation
• lidar
• semantickitti
• 3d-lidar-data

High-performance Bayesian Data Analysis on the GPU in Clojure

• clojure
• bayesian-inference
• bayesian-data-analysis
• gpu-computing

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

• bayesian-inference
• deep-learning

Bayesian Generalized Kernel Inference for Terrain Traversability Mapping

A hyperparameter optimization framework, inspired by Optuna.

• bayesian-optimization
• bandit-algorithms
• evolution-strategies
• blackbox-optimization