Topic: "bayesian"
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
Language: Python - Size: 93.5 MB - Last synced at: 6 days ago - Pushed at: 16 days ago - Stars: 8,742 - Forks: 988

MingchaoZhu/DeepLearning
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
Language: Python - Size: 31.8 MB - Last synced at: 28 days ago - Pushed at: almost 5 years ago - Stars: 6,878 - Forks: 1,372

stan-dev/stan
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Language: C++ - Size: 277 MB - Last synced at: 7 days ago - Pushed at: 11 days ago - Stars: 2,652 - Forks: 377

avehtari/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
Language: TeX - Size: 440 MB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 2,198 - Forks: 560

uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Language: Python - Size: 160 MB - Last synced at: 6 months ago - Pushed at: 10 months ago - Stars: 1,872 - Forks: 134

probcomp/Gen.jl
A general-purpose probabilistic programming system with programmable inference
Language: Julia - Size: 28.1 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 1,811 - Forks: 162

arviz-devs/arviz
Exploratory analysis of Bayesian models with Python
Language: Python - Size: 119 MB - Last synced at: about 1 hour ago - Pushed at: 13 days ago - Stars: 1,682 - Forks: 435

gempy-project/gempy
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.
Language: Python - Size: 437 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1,096 - Forks: 247

bayesgroup/deepbayes-2018
Seminars DeepBayes Summer School 2018
Language: Jupyter Notebook - Size: 25.4 MB - Last synced at: 29 days ago - Pushed at: over 5 years ago - Stars: 1,046 - Forks: 273

avehtari/BDA_py_demos
Bayesian Data Analysis demos for Python
Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1,008 - Forks: 301

google/lightweight_mmm
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Language: Python - Size: 12.7 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 962 - Forks: 211

easystats/report
:scroll: :tada: Automated reporting of objects in R
Language: R - Size: 19 MB - Last synced at: 8 days ago - Pushed at: 10 days ago - Stars: 703 - Forks: 70

ericmjl/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
Language: Jupyter Notebook - Size: 96.6 MB - Last synced at: 28 days ago - Pushed at: almost 3 years ago - Stars: 664 - Forks: 279

easystats/bayestestR
:ghost: Utilities for analyzing Bayesian models and posterior distributions
Language: R - Size: 153 MB - Last synced at: 12 days ago - Pushed at: 13 days ago - Stars: 582 - Forks: 57

avehtari/BDA_R_demos
Bayesian Data Analysis demos for R
Language: HTML - Size: 190 MB - Last synced at: 27 days ago - Pushed at: 7 months ago - Stars: 573 - Forks: 205

ericmjl/bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
Language: Jupyter Notebook - Size: 126 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 557 - Forks: 110

Harry24k/bayesian-neural-network-pytorch
PyTorch implementation of bayesian neural network [torchbnn]
Language: Python - Size: 22.2 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 521 - Forks: 83

js05212/BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
Size: 454 KB - Last synced at: 5 days ago - Pushed at: 6 months ago - Stars: 513 - Forks: 62

AmazaspShumik/sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
Language: Jupyter Notebook - Size: 17.4 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 506 - Forks: 118

wwrechard/pydlm
A python library for Bayesian time series modeling
Language: Python - Size: 3.32 MB - Last synced at: 26 days ago - Pushed at: 8 months ago - Stars: 484 - Forks: 98

easystats/correlation
:link: Methods for Correlation Analysis
Language: R - Size: 159 MB - Last synced at: 8 days ago - Pushed at: 10 days ago - Stars: 439 - Forks: 57

stan-dev/bayesplot
bayesplot R package for plotting Bayesian models
Language: R - Size: 386 MB - Last synced at: 7 days ago - Pushed at: 12 days ago - Stars: 436 - Forks: 84

stan-dev/rstanarm
rstanarm R package for Bayesian applied regression modeling
Language: R - Size: 117 MB - Last synced at: 2 days ago - Pushed at: about 2 months ago - Stars: 394 - Forks: 136

uncomplicate/bayadera
High-performance Bayesian Data Analysis on the GPU in Clojure
Language: Clojure - Size: 1020 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 365 - Forks: 23

storopoli/Bayesian-Statistics
Bayesian statistics graduate course
Language: Typst - Size: 49.5 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 336 - Forks: 54

winstxnhdw/AutoCarROS2
A virtual simulation platform for autonomous vehicle sensing, mapping, control and behaviour methods using ROS 2 and Gazebo.
Language: Python - Size: 81.6 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 329 - Forks: 58

SHI-Yu-Zhe/awesome-agi-cocosci
An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.
Language: TeX - Size: 9.03 MB - Last synced at: 7 days ago - Pushed at: 10 days ago - Stars: 322 - Forks: 23

quantumjot/btrack
Bayesian multi-object tracking
Language: Python - Size: 16.1 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 320 - Forks: 50

elfi-dev/elfi
ELFI - Engine for Likelihood-Free Inference
Language: Python - Size: 2.15 MB - Last synced at: 7 days ago - Pushed at: 10 months ago - Stars: 274 - Forks: 62

wujian16/Cornell-MOE
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Language: C++ - Size: 15.6 MB - Last synced at: 10 days ago - Pushed at: over 5 years ago - Stars: 269 - Forks: 63

tpapp/DynamicHMC.jl
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Language: Julia - Size: 1.14 MB - Last synced at: about 20 hours ago - Pushed at: 4 days ago - Stars: 251 - Forks: 21

josejimenezluna/pyGPGO
Bayesian optimization for Python
Language: Python - Size: 59.5 MB - Last synced at: 8 days ago - Pushed at: about 3 years ago - Stars: 245 - Forks: 61

wiseodd/probabilistic-models
Collection of probabilistic models and inference algorithms
Language: Python - Size: 26.4 KB - Last synced at: 1 day ago - Pushed at: about 5 years ago - Stars: 241 - Forks: 76

CCS-Lab/hBayesDM
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
Language: TeX - Size: 58.5 MB - Last synced at: 21 days ago - Pushed at: 9 months ago - Stars: 239 - Forks: 116

PecanProject/pecan
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Language: R - Size: 410 MB - Last synced at: about 9 hours ago - Pushed at: 1 day ago - Stars: 219 - Forks: 258

stan-dev/posteriordb
Database with posteriors of interest for Bayesian inference
Language: Stan - Size: 71.4 MB - Last synced at: 3 days ago - Pushed at: 11 days ago - Stars: 199 - Forks: 40

stan-dev/shinystan
shinystan R package and ShinyStan GUI
Language: R - Size: 32.9 MB - Last synced at: 3 days ago - Pushed at: 4 months ago - Stars: 199 - Forks: 47

m-clark/Miscellaneous-R-Code
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
Language: R - Size: 11.2 MB - Last synced at: 28 days ago - Pushed at: over 4 years ago - Stars: 196 - Forks: 82

pmorerio/dl-uncertainty
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
Language: Python - Size: 117 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 194 - Forks: 37

EbTech/Elo-MMR
Skill estimation systems for multiplayer competitions
Language: C++ - Size: 214 MB - Last synced at: 22 days ago - Pushed at: 2 months ago - Stars: 193 - Forks: 23

sony/sqvae
Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
Language: Python - Size: 158 KB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 187 - Forks: 23

gpstuff-dev/gpstuff
GPstuff - Gaussian process models for Bayesian analysis
Language: MATLAB - Size: 67.2 MB - Last synced at: 30 days ago - Pushed at: over 2 years ago - Stars: 174 - Forks: 61

brendanhasz/probflow
A Python package for building Bayesian models with TensorFlow or PyTorch
Language: Python - Size: 3.23 MB - Last synced at: 2 days ago - Pushed at: over 2 years ago - Stars: 174 - Forks: 16

muatik/naive-bayes-classifier
yet another general purpose naive bayesian classifier.
Language: Python - Size: 72.3 KB - Last synced at: 5 days ago - Pushed at: over 5 years ago - Stars: 172 - Forks: 72

avehtari/modelselection
Case studies on model assessment, model selection and inference after model selection
Language: HTML - Size: 54.9 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 171 - Forks: 36

stan-dev/posterior
The posterior R package
Language: R - Size: 4.23 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 168 - Forks: 25

kharchenkolab/Baysor
Bayesian Segmentation of Spatial Transcriptomics Data
Language: Julia - Size: 2.11 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 155 - Forks: 31

infocusp/diffusion_models
Minimal standalone example of diffusion model
Language: Jupyter Notebook - Size: 14.5 MB - Last synced at: 12 months ago - Pushed at: almost 3 years ago - Stars: 154 - Forks: 15

stan-dev/loo
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
Language: R - Size: 111 MB - Last synced at: 3 days ago - Pushed at: about 1 month ago - Stars: 153 - Forks: 34

SysBioChalmers/DLKcat
Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic models (ecGEMs) reconstruction
Language: Python - Size: 46.2 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 151 - Forks: 57

neuropsychology/psycho.R
An R package for experimental psychologists
Language: R - Size: 7.36 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 149 - Forks: 32

stan-dev/cmdstanr
CmdStanR: the R interface to CmdStan
Language: R - Size: 27.7 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 147 - Forks: 65

mattiasvillani/BayesLearnCourse
Bayesian Learning course at Stockholm University
Language: PostScript - Size: 157 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 140 - Forks: 31

probabilisticai/probai-2019
Materials of the Nordic Probabilistic AI School 2019.
Language: Jupyter Notebook - Size: 97.2 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 128 - Forks: 39

probabilists/lampe
Likelihood-free AMortized Posterior Estimation with PyTorch
Language: Python - Size: 4.09 MB - Last synced at: 1 day ago - Pushed at: 9 months ago - Stars: 127 - Forks: 13

waldronlab/Statistical-Rethinking 📦
An interactive online reading of McElreath's Statistical Rethinking
Language: Rebol - Size: 21.6 MB - Last synced at: 10 months ago - Pushed at: almost 7 years ago - Stars: 125 - Forks: 42

ericmjl/bayesian-deep-learning-demystified
In which I try to demystify the fundamental concepts behind Bayesian deep learning.
Language: CSS - Size: 141 MB - Last synced at: 28 days ago - Pushed at: over 7 years ago - Stars: 123 - Forks: 39

ChirikjianLab/Marching-Primitives
[CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function
Language: MATLAB - Size: 33.9 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 119 - Forks: 6

ColtAllen/btyd Fork of CamDavidsonPilon/lifetimes 📦
Buy Till You Die and Customer Lifetime Value statistical models in Python.
Language: Python - Size: 7.06 MB - Last synced at: 5 days ago - Pushed at: 12 months ago - Stars: 116 - Forks: 9

lawmurray/Birch
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
Language: C++ - Size: 13.2 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 115 - Forks: 14

stan-dev/projpred
Projection predictive variable selection
Language: R - Size: 24 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 112 - Forks: 27

quantopian/bayesalpha
Bayesian models to compute performance and uncertainty of returns and alpha.
Language: Python - Size: 1.91 MB - Last synced at: 2 days ago - Pushed at: about 2 years ago - Stars: 110 - Forks: 59

arviz-devs/ArviZ.jl
Exploratory analysis of Bayesian models with Julia
Language: Julia - Size: 137 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 109 - Forks: 10

lettier/lda-topic-modeling
A PureScript, browser-based implementation of LDA topic modeling.
Language: PureScript - Size: 109 KB - Last synced at: 22 days ago - Pushed at: about 7 years ago - Stars: 104 - Forks: 17

MangiolaLaboratory/sccomp
Mixed-effect model to test differences in cell type proportions from single-cell data, in R
Language: R - Size: 97.7 MB - Last synced at: 1 day ago - Pushed at: about 1 month ago - Stars: 103 - Forks: 8

ai-med/quickNAT_pytorch
PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Language: Python - Size: 342 MB - Last synced at: 6 days ago - Pushed at: over 4 years ago - Stars: 103 - Forks: 37

stablemarkets/BayesianTutorials
Implementing MCMC sampling from scratch in R for various Bayesian models
Language: HTML - Size: 188 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 100 - Forks: 46

AmpersandTV/pymc3-hmm
Hidden Markov models in PyMC3
Language: Python - Size: 5.51 MB - Last synced at: 15 days ago - Pushed at: about 1 year ago - Stars: 99 - Forks: 13

zlxy9892/ml_code
A repository for recording the machine learning code
Language: Python - Size: 47.5 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 96 - Forks: 57

JEFworks-Lab/HoneyBADGER
HMM-integrated Bayesian approach for detecting CNV and LOH events from single-cell RNA-seq data
Language: R - Size: 52.8 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 96 - Forks: 31

probabilisticai/probai-2021
Materials of the Nordic Probabilistic AI School 2021.
Language: Jupyter Notebook - Size: 65.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 91 - Forks: 15

m-clark/bayesian-basics
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
Language: Stan - Size: 93 MB - Last synced at: 11 days ago - Pushed at: about 3 years ago - Stars: 84 - Forks: 26

catavallejos/BASiCS
BASiCS: Bayesian Analysis of Single-Cell Sequencing Data. This is an unstable experimental version. Please see http://bioconductor.org/packages/BASiCS/ for the official release version
Language: R - Size: 90.4 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 83 - Forks: 17

DOI-USGS/geobipy
Geophysical Bayesian Inference in Python. Docs:
Language: Python - Size: 269 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 83 - Forks: 19

brian-lau/MatlabStan
Matlab interface to Stan, a package for Bayesian inference
Language: Matlab - Size: 923 KB - Last synced at: 30 days ago - Pushed at: about 2 years ago - Stars: 82 - Forks: 47

ConnorDonegan/geostan
Bayesian spatial analysis
Language: R - Size: 171 MB - Last synced at: 8 days ago - Pushed at: 5 months ago - Stars: 79 - Forks: 6

djpugh/MTfit
MTfit code for Bayesian Moment Tensor Fitting
Language: Python - Size: 53.5 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 79 - Forks: 17

stan-dev/stan-mode
Emacs mode for Stan.
Language: Emacs Lisp - Size: 4.09 MB - Last synced at: 3 days ago - Pushed at: about 3 years ago - Stars: 71 - Forks: 15

m-clark/models-by-example
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Language: R - Size: 26.2 MB - Last synced at: 11 days ago - Pushed at: over 4 years ago - Stars: 68 - Forks: 18

ericmjl/bayesian-stats-talk
Doing Bayesian statistics in Python!
Language: Jupyter Notebook - Size: 23.6 MB - Last synced at: 28 days ago - Pushed at: over 7 years ago - Stars: 67 - Forks: 34

englianhu/binary.com-interview-question
次元期权应征面试题范例。 #易经 #道家 #十二生肖 #姓氏堂号子嗣贞节牌坊 #天文历法 #张灯结彩 #农历 #夜观星象 #廿四节气 #算卜 #紫微斗数 #十二时辰 #生辰八字 #命运 #风水 《始祖赢政之子赢家黄氏江夏堂联富•秦谏——大秦赋》 万般皆下品,唯有读书高。🚩🇨🇳🏹🦔中科红旗,歼灭所有世袭制可兰经法家回教徒巫贼巫婆、洋番、峇峇娘惹。https://gitee.com/englianhu
Language: HTML - Size: 11.4 GB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 66 - Forks: 29

gerdm/weighted-likelihood-filter
Code for the paper "Outlier-robust Kalman Filtering through Generalised Bayes" presented at ICML 2024
Language: Jupyter Notebook - Size: 60.9 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 66 - Forks: 17

jamiemcg/BUSCO_phylogenomics
BUSCO Phylogenomics | Utility script to construct species phylogenies using BUSCO proteins
Language: Python - Size: 347 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 64 - Forks: 9

avehtari/BDA_m_demos
Bayesian Data Analysis demos for Matlab/Octave
Language: MATLAB - Size: 3.04 MB - Last synced at: 27 days ago - Pushed at: over 5 years ago - Stars: 63 - Forks: 39

florist-notes/CS228_PGM
🌀 Stanford CS 228 - Probabilistic Graphical Models
Language: Python - Size: 45.9 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 63 - Forks: 22

pymc-devs/symbolic-pymc
Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.
Language: Python - Size: 3.79 MB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 62 - Forks: 8

Hankanman/Area-Occupancy-Detection
A Home Assistant integration to accurately and intelligently track occupancy of an area
Language: Python - Size: 1.48 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 61 - Forks: 1

n-kall/priorsense
priorsense: an R package for prior diagnostics and sensitivity
Language: R - Size: 9.77 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 60 - Forks: 9

jffist/statistical-rethinking-solutions
Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.
Language: R - Size: 140 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 60 - Forks: 18

dm13450/dirichletprocess
Build dirichletprocess objects for data analysis
Language: R - Size: 10.1 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 59 - Forks: 15

AstraZeneca/judgyprophet
Forecasting for knowable future events using Bayesian informative priors (forecasting with judgmental-adjustment).
Language: Python - Size: 1.84 MB - Last synced at: 2 days ago - Pushed at: about 3 years ago - Stars: 59 - Forks: 2

noriakis/CBNplot
Bayesian network plot for the enrichment analysis results
Language: R - Size: 1.64 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 57 - Forks: 11

saudiwin/idealstan
idealstan offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying and missing-data inference. Latent space model also included. Full and approximate Bayesian sampling with 'Stan' (www.mc-stan.org).
Language: R - Size: 91.5 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 55 - Forks: 12

nk027/bvar
Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015). Allows for the computation of impulse responses and forecasts and provides functionality for assessing results.
Language: R - Size: 5.72 MB - Last synced at: 1 day ago - Pushed at: 6 months ago - Stars: 55 - Forks: 22

dokester/BayesicFitting
Bayesian fitting package
Language: Jupyter Notebook - Size: 41.4 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 54 - Forks: 8

AlbertoAlmuinha/bayesmodels
The Tidymodels Extension for Bayesian Models
Language: R - Size: 22.5 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 53 - Forks: 9

yuta-hi/pytorch_bayesian_unet
Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)
Language: Python - Size: 15.3 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 53 - Forks: 16

ericmjl/causality
In which I play with the ideas surrounding causality
Language: Python - Size: 4.3 MB - Last synced at: 28 days ago - Pushed at: almost 3 years ago - Stars: 51 - Forks: 13

marius311/CMBLensing.jl
The automatically differentiable and GPU-compatible toolkit for CMB analysis.
Language: Julia - Size: 308 MB - Last synced at: 1 day ago - Pushed at: 7 months ago - Stars: 50 - Forks: 11

yuki-koyama/sequential-line-search
A Preferential Bayesian optimization library for C++/Python [SIGGRAPH 2017]
Language: C++ - Size: 12.4 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 50 - Forks: 10
