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572 search results found
Pyro
⭐
8,394
Deep universal probabilistic programming with Python and PyTorch
Pgmpy
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2,551
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Deeplearning
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2,347
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
Ax
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2,217
Adaptive Experimentation Platform
Bayesian Modelling In Python
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2,202
A python tutorial on bayesian modeling techniques (PyMC3)
Zhusuan
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2,139
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Orbit
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1,776
A Python package for Bayesian forecasting with objectoriented design and probabilistic models under the hood.
Arviz
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1,481
Exploratory analysis of Bayesian models with Python
Spearmint
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1,334
Spearmint Bayesian optimization codebase
Spearmint
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1,310
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
Pytorch Bayesiancnn
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1,181
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Bayesian Belief Networks
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1,024
Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
Bambi
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976
BAyesian ModelBuilding Interface (Bambi) in Python.
Bda_py_demos
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851
Bayesian Data Analysis demos for Python
Gempy
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841
GemPy is an opensource, Pythonbased 3D 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.
Bayeslite
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828
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
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817
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Dragonfly
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782
An open source python library for scalable Bayesian optimisation.
Cornac
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782
A Comparative Framework for Multimodal Recommender Systems
Lightweight_mmm
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701
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Statistical Rethinking With Python And Pymc3
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674
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
Probreg
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670
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
Bayespy
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666
Bayesian Python: Bayesian inference tools for Python
Segnet Tutorial
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655
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
Bap
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578
Bayesian Analysis with Python (Second Edition)
Deep Active Learning
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553
Deep Active Learning
Emukit
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551
A Pythonbased toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multifidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Pydlm
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467
A python library for Bayesian time series modeling
Pyhsmm
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464
Sentiment Analysis In Event Driven Stock Price Movement Prediction
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462
Use NLP to predict stock price movement associated with news
Sklearn Bayes
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439
Python package for Bayesian Machine Learning with scikitlearn API
Simple
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432
Experimental Global Optimization Algorithm
Dropoutuncertaintyexps
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411
Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
Bnlearn
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406
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Bayesian Torch
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396
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Robo
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381
RoBO: a Robust Bayesian Optimization framework
Snake Ga
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360
AI Agent that learns how to play Snake with Deep QLearning
Dynesty
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323
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
Crosscat
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312
A domaingeneral, Bayesian method for analyzing highdimensional data tables
Pyvarinf
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300
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
Vime
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299
Code for the paper "Curiositydriven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
Scipy2014_tutorial
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281
Tutorial: Bayesian Statistical Analysis in Python
Traceanomaly
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277
ISSRE'20: Unsupervised Detection of Microservice Trace Anomalies through ServiceLevel Deep Bayesian Networks
Stein Variational Gradient Descent
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261
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
Elfi
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259
ELFI  Engine for LikelihoodFree Inference
Python For Scientists
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255
A list of recommended Python libraries, and resources, intended for scientific Python users.
Bayesian Neural Network Pytorch
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241
PyTorch implementation of bayesian neural network.
Gpflowopt
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218
Bayesian Optimization using GPflow
Bayesian Optimization
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218
Python code for bayesian optimization using Gaussian processes
Bitcoin Price Prediction
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214
Bayesian regression for latent source model and Bitcoin
Pilco
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213
Bayesian Reinforcement Learning in Tensorflow
Bayesian Crowd Counting
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210
Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision
Bayesian Analysis With Python
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201
Bayesian Analysis with Python by Packt
Trieste
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196
A Bayesian optimization toolbox built on TensorFlow
Probabilistic Models
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196
Collection of probabilistic models and inference algorithms
Bayesianrecurrentnn
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196
Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
Hbayesdm
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192
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
Grammarvae
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189
Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925
Pymultinest
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185
Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
Batchbald
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174
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
Tutorial_bayesiancompressionfordl
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174
A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
Bpr
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174
Bayesian Personalized Ranking
Dl With Bayes
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158
Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
Scikit Rvm
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158
Relevance Vector Machine implementation using the scikitlearn API.
Naive Bayes Classifier
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157
yet another general purpose naive bayesian classifier.
Doppelganger
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153
A Python package of tools to support population synthesizers
Pybrml
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145
Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
Cotengra
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145
Hyper optimized contraction trees for large tensor networks and einsums
Icml2015_papers
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143
Links to ICML 2015 papers available on arxiv
Causal_impact
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141
Python package for causal inference using Bayesian structural timeseries models.
Best
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141
Bayesian estimation supersedes the t test
Miscellaneous R Code
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140
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 modelsbyexample repo.
Pyhawkes
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139
Python framework for inference in Hawkes processes.
Mixture_model_trading_public
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138
Pybn
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135
Bayesian Networks in Python
Learn To Select Data
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131
Code for Learning to select data for transfer learning with Bayesian Optimization
Pybo
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124
Python package for modular Bayesian optimization
Torchfilter
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121
Bayesian filters in PyTorch
Beat
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121
Bayesian Earthquake Analysis Tool
Pybasicbayes
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120
Pythonmcmc
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119
A list of Pythonbased MCMC & ABC packages
Active Nlp
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116
Bayesian Deep Active Learning for Natural Language Processing Tasks
Noisynaturalgradient
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115
Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
Bayesian_bootstrap
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110
bayesian bootstrapping in python
Cobaya
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110
Code for Bayesian Analysis
Lampe
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109
Likelihoodfree AMortized Posterior Estimation with PyTorch
Probflow
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108
A Python package for building Bayesian models with TensorFlow or PyTorch
Safeopt
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108
Safe Bayesian Optimization
Pebl
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101
Python Environment for Bayesian Learning
Bankclassify
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101
Simple example of using a Naive Bayesian classification to classify entries in bank statements
Gym Cooking
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98
gymcooking: Code for "Too many cooks: Bayesian inference for coordinating multiagent collaboration", Winner of the CogSci 2020 Computational Modeling Prize in High Cognition, and a NeurIPS 2020 CoopAI Workshop Best Paper.
Abcpy
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97
ABCpy package
Caffe With Spearmint
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97
Automatic Caffe parameter search via Spearmint Bayesian optimisation
Bayesian Coresets
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96
Automated Scalable Bayesian Inference
Pybayes
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95
Python library for recursive Bayesian estimation (Bayesian filtering)
Bayesian Classifier
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94
A Naive Bayesian Classifier written in Python
Ml_code
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94
A repository for recording the machine learning code
Kcbo
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94
A Bayesian testing framework written in Python.
Pplbench
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91
Evaluation Framework for Probabilistic Programming Languages
Redisbayes
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88
Naïve Bayesian Text Classifier on Redis
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