Repository Index

Machine learning, in numpy

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

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

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

Spearmint Bayesian optimization codebase

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

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

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

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

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

• bayesian-inference
• deep-learning

Bayesian Optimization using GPflow

• gpflow
• bayesian-optimization
• machine-learning
• hyperparameter-optimization

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

• time-series-analysis
• model-selection
• bayesian-inference
• anomaly-detection

Safe Bayesian Optimization

• gaussian-processes
• optimization
• robotics
• reinforcement-learning

Gaussian processes and Bayesian optimization for images and hyperspectral data

• image-processing
• hyperspectral-images
• gaussian-processes
• bayesian-optimization