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Deep universal probabilistic programming with Python and PyTorch
Bayesian Modeling in Python
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Bayesian Modelling In Python
A python tutorial on bayesian modeling techniques (PyMC3)
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
A Python library that helps data scientists to infer causation rather than observing correlation.
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Exploratory analysis of Bayesian models with Python
Spearmint Bayesian optimization codebase
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Bayesian Belief Networks
Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
BAyesian Model-Building Interface (Bambi) in Python.
Bayesian Data Analysis demos for Python
BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
Blitz Bayesian Deep Learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.
An open source python library for scalable Bayesian optimisation.
A Comparative Framework for Multimodal Recommender Systems
Statistical Rethinking With Python And Pymc3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
Bayesian Python: Bayesian inference tools for Python
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Bayesian Analysis with Python (Second Edition)
Deep Active Learning
Deep Active Learning
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
A python library for Bayesian time series modeling
Sentiment Analysis In Event Driven Stock Price Movement Prediction
Use NLP to predict stock price movement associated with news
Python package for Bayesian Machine Learning with scikit-learn API
Experimental Global Optimization Algorithm
Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
RoBO: a Robust Bayesian Optimization framework
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
AI Agent that learns how to play Snake with Deep Q-Learning
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
A domain-general, Bayesian method for analyzing high-dimensional data tables
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
Tutorial: Bayesian Statistical Analysis in Python
ISSRE'20: Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks
Stein Variational Gradient Descent
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
ELFI - Engine for Likelihood-Free Inference
Bayesian Neural Network Pytorch
PyTorch implementation of bayesian neural network.
Python code for bayesian optimization using Gaussian processes
Bayesian Optimization using GPflow
Bitcoin Price Prediction
Bayesian regression for latent source model and Bitcoin
Bayesian optimization for Python
Bayesian Reinforcement Learning in Tensorflow
Bayesian Crowd Counting
Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision
Bayesian Analysis With Python
Bayesian Analysis with Python by Packt
Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
Collection of probabilistic models and inference algorithms
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925
A Bayesian optimization toolbox built on TensorFlow
Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
Bayesian Personalized Ranking
A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
Python For Scientists
A list of recommended Python libraries, and resources, intended for scientific Python users.
Relevance Vector Machine implementation using the scikit-learn API.
Dl With Bayes
Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
Naive Bayes Classifier
yet another general purpose naive bayesian classifier.
A Python package of tools to support population synthesizers
Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
Links to ICML 2015 papers available on arxiv
Bayesian estimation supersedes the t test
Python package for causal inference using Bayesian structural time-series models.
Miscellaneous R Code
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.
Hyper optimized contraction trees for large tensor networks and einsums
Python framework for inference in Hawkes processes.
Bayesian Networks in Python
Learn To Select Data
Code for Learning to select data for transfer learning with Bayesian Optimization
Python package for modular Bayesian optimization
Bayesian filters in PyTorch
Bayesian Earthquake Analysis Tool
Bayesian Deep Active Learning for Natural Language Processing Tasks
Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
bayesian bootstrapping in python
A Python package for building Bayesian models with TensorFlow or PyTorch
Safe Bayesian Optimization
Code for Bayesian Analysis
Python Environment for Bayesian Learning
Simple example of using a Naive Bayesian classification to classify entries in bank statements
gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Computational Modeling Prize in High Cognition, and a NeurIPS 2020 CoopAI Workshop Best Paper.
Caffe With Spearmint
Automatic Caffe parameter search via Spearmint Bayesian optimisation
Automated Scalable Bayesian Inference
Python library for recursive Bayesian estimation (Bayesian filtering)
A repository for recording the machine learning code
A Naive Bayesian Classifier written in Python
A Bayesian testing framework written in Python.
Evaluation Framework for Probabilistic Programming Languages
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