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86 search results found
Numpy Ml
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14,162
Machine learning, in numpy
Pyro
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8,394
Deep universal probabilistic programming with Python and PyTorch
Causalnex
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2,184
A Python library that helps data scientists to infer causation rather than observing correlation.
Infer
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1,519
Infer.NET is a framework for running Bayesian inference in graphical models
Awesome Normalizing Flows
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1,232
Awesome resources on normalizing flows.
Fortuna
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824
A Library for Uncertainty Quantification.
Sbi
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546
Simulationbased inference toolkit
Bnlearn
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406
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Measuretheory.jl
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377
"Distributions" that might not add to one.
Gpjax
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352
Gaussian processes in JAX.
Stheno.jl
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327
Probabilistic Programming with Gaussian processes in Julia
Vbmc
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212
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
Looper
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201
A resource list for causality in statistics, data science and physics
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
Bat.jl
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185
A Bayesian Analysis Toolkit in Julia
The Books Making You Better
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169
A list of timelasting classic books, which not only help you figure out how it works, but also grasp when it works and why it works in that way.
Gpax
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163
Gaussian Processes for Experimental Sciences
Survival Analysis Using Deep Learning
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138
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
Invertiblenetworks.jl
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131
A Julia framework for invertible neural networks
Ml_algo_in_depth
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124
ML algorithms in depth
Statrethink_course_in_pymc3
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119
Statistical Rethinking course in pymc3
Paramonte
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112
ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.
Probflow
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108
A Python package for building Bayesian models with TensorFlow or PyTorch
Birch
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101
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
Pyvbmc
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97
PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
Parbayesianoptimization
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88
Parallelizable Bayesian Optimization in R
Pymc Example Project
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87
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Gammy
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71
🐙 Generalized additive models in Python with a Bayesian twist
Paper Reading
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64
Paper Reading
Delfi
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57
Density estimation likelihoodfree inference
Data Analysis In Action
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57
📖 R 语言数据分析实战（写作中） Data Analysis in Action Using R
Cogaps
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53
Bayesian MCMC matrix factorization algorithm
Dun
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52
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Pybgmm
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49
Bayesian inference for Gaussian mixture model with some novel algorithms
Probqa
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46
Probabilistic questionasking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.
Cosmopower
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45
Machine Learning  accelerated Bayesian inference
Pylda
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44
A Latent Dirichlet Allocation implementation in Python.
Pocomc
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39
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
Harmonic
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36
Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection
Artificial_neural_networks
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35
A collection of Methods and Models for various architectures of Artificial Neural Networks
Astrostatistics_bicocca_2023
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32
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of MilanBicocca (Italy)
Autogp.jl
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30
Automated Bayesian model discovery for time series data
Dpmmsubclusters.jl
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30
Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)
Nessai
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29
nessai: Nested Sampling with Artificial Intelligence
Bayesianlinearregressors.jl
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28
Bayesian Linear Regression in Julia
Bayeshmm
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26
Full Bayesian Inference for Hidden Markov Models
Calm
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24
Conditional Associative Logic Memory
Autogp
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24
Code for AutoGP
Cgpm
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24
Library of composable generative population models which serve as the modeling and inference backend of BayesDB.
Blangsdk
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22
Blang's software development kit
Potentiallearning.jl
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17
An open source Julia library for active learning of interatomic potentials in atomistic simulations of materials. It incorporates elements of bayesian inference, machine learning, differentiable programming, software composability, and highperformance computing.
Skbel
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16
SKBEL  Bayesian Evidential Learning framework built on top of scikitlearn.
19 Questions
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15
A machine learning / bayesian inference engine assigning attributes to objects
Basq
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15
(NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
Mathepideeplearning
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15
Awesomespatialtemporaldataminingpackages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.
3dmmdepthfitting
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15
Efficient 3D Morphable Model Face Fitting using Depth Sensing Technologies
Zhusuan Pytorch
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14
An Elegant Library for Bayesian Deep Learning in PyTorch
Bayesianml
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14
This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.
Kernel Ep
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14
UAI 2015. Kernelbased justintime learning for expectation propagation
Cosmopower Jax
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13
Differentiable cosmological emulators: the JAX version of cosmopower
Zhusuan Jittor
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13
Zhusuan with backend Jittor
Lingo
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13
Infer the gender of an individual based on their name.
Trilearn
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12
Bayesian structure learning and classification in decomposable graphical models.
Deep Gaussian Process
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12
🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0
Ssdgp
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11
Statespace deep Gaussian processes in Python and Matlab
Bnpmix.jl
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11
Bayesian Nonparametric Mixture Models in Julia
Gpjax
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11
Minimal Gaussian process library in JAX with a simple (custom) approach to state management.
Dynetlsm
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10
DynetLSM: latent space models for dynamic networks
Pythonbrmltoolbox
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10
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
Professional Workshop 3
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9
上海交通大学 致远数学方向 专业研讨课3 [计算神经科学专题]
Balanced Nre
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9
Code for the paper "Towards Reliable SimulationBased Inference with Balanced Neural Ratio Estimation".
Etudes
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9
🎶 A collection of études on probabilistic models.
Geneml
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9
Scalable Generative Models for Mulltilabel Learning with Missing Labels
Hierarchical Irm
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8
Probabilistic structure discovery for rich relational systems
Bayesian Methods For Machine Learning
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8
Bayesian Methods for Machine Learning
Zhusuan Paddlepaddle
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8
Zhusuan with backend PaddlePaddle
Bodywork Pymc3 Project
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8
Serving Uncertainty with Bayesian inference, using PyMC3 with Bodywork
U Cam
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8
Visual Explanation using Uncertainty based Class Activation Maps
Bayes Trex
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8
2021 AAAI Paper, "BayesTrEx: A Bayesian Sampling Approach to Model Transparency by Example"
Mgvi.jl
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7
Metric Gaussian Variational Inference
Code
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7
Some collection of codes that are used in data mining and data science related fields, developed by me
Bnpseg
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6
Bayesian NonParametric Image Segmentation using HDPMRF
Gpie
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5
Gaussian Process tiny explorer
Pymc Advi Hmc Demo
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5
Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.
Plausible Uncertainties
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5
Methods used in the paper "Plausible Uncertainties for Human Pose Regression".
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