assignerPopulation assignment analysis using R
Stars: ✭ 17 (+0%)
ParamonteParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.
Stars: ✭ 88 (+417.65%)
dstyet another custom data science template via cookiecutter
Stars: ✭ 59 (+247.06%)
Pumas.jlPharmaceutical Modeling and Simulation for Nonlinear Mixed Effects (NLME), Quantiative Systems Pharmacology (QsP), Physiologically-Based Pharmacokinetics (PBPK) models mixed with machine learning
Stars: ✭ 84 (+394.12%)
variational-bayes-csScalable sparse Bayesian learning for large CS recovery problems
Stars: ✭ 17 (+0%)
AliceNIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Stars: ✭ 80 (+370.59%)
R-data-wranglingMaterials for my my R data workshop. https://cengel.github.io/R-data-wrangling/
Stars: ✭ 17 (+0%)
Turing.jlBayesian inference with probabilistic programming.
Stars: ✭ 1,150 (+6664.71%)
BayestyperA method for variant graph genotyping based on exact alignment of k-mers
Stars: ✭ 65 (+282.35%)
ETL-Starter-Kit📁 Extract, Transform, Load (ETL) 👷 refers to a process in database usage and especially in data warehousing. This repository contains a starter kit featuring ETL related work.
Stars: ✭ 21 (+23.53%)
BlackjaxBlackJAX is a sampling library designed for ease of use, speed and modularity.
Stars: ✭ 56 (+229.41%)
ML-DS-GuideComplied Resources for learning Machine Learning & Data Science
Stars: ✭ 42 (+147.06%)
Dnest4Diffusive Nested Sampling
Stars: ✭ 49 (+188.24%)
ecoleExtensible Combinatorial Optimization Learning Environments
Stars: ✭ 249 (+1364.71%)
schrutepyThe Entire Transcript from the Office in Tidy Format
Stars: ✭ 22 (+29.41%)
AutopplC++ template library for probabilistic programming
Stars: ✭ 34 (+100%)
VCF2DisVCF2Dis: A new simple and efficient software to calculate p-distance matrix based Variant Call Format
Stars: ✭ 54 (+217.65%)
PyroDeep universal probabilistic programming with Python and PyTorch
Stars: ✭ 7,224 (+42394.12%)
NNetalgorithm for study: multi-layer-perceptron, cluster-graph, cnn, rnn, restricted boltzmann machine, bayesian network
Stars: ✭ 24 (+41.18%)
NumpyroProbabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Stars: ✭ 929 (+5364.71%)
SDGymBenchmarking synthetic data generation methods.
Stars: ✭ 177 (+941.18%)
Scikit StanA high-level Bayesian analysis API written in Python
Stars: ✭ 22 (+29.41%)
R-Learning-JourneySome of the projects i made when starting to learn R for Data Science at the university
Stars: ✭ 19 (+11.76%)
Rhat essRank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
Stars: ✭ 19 (+11.76%)
uoaisCodes of paper "Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling", ICRA 2022
Stars: ✭ 77 (+352.94%)
Ggdistributeggplot2 extension for plotting distributions
Stars: ✭ 16 (-5.88%)
flowtorch-oldSeparating Normalizing Flows code from Pyro and improving API
Stars: ✭ 36 (+111.76%)
Brmsbrms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
Stars: ✭ 825 (+4752.94%)
anestheticNested Sampling post-processing and plotting
Stars: ✭ 34 (+100%)
Pytorch BayesiancnnBayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Stars: ✭ 779 (+4482.35%)
TemporalGPs.jlFast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html
Stars: ✭ 89 (+423.53%)
RstanRStan, the R interface to Stan
Stars: ✭ 760 (+4370.59%)
PyBGMMBayesian inference for Gaussian mixture model with some novel algorithms
Stars: ✭ 51 (+200%)
Pymc3Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
Stars: ✭ 6,214 (+36452.94%)
LGNpyLinear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧
Stars: ✭ 25 (+47.06%)
Dbda PythonDoing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
Stars: ✭ 502 (+2852.94%)
student-grade-analyticsAnalyse academic and non-academic information of students and predict grades
Stars: ✭ 17 (+0%)
pcalg-pyImplement PC algorithm in Python | PC 算法的 Python 实现
Stars: ✭ 52 (+205.88%)
Vae cfVariational autoencoders for collaborative filtering
Stars: ✭ 386 (+2170.59%)
lgprR-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.
Stars: ✭ 22 (+29.41%)
BayaderaHigh-performance Bayesian Data Analysis on the GPU in Clojure
Stars: ✭ 342 (+1911.76%)
Salarios MagistradosBaixa as planilhas de salários de magistrados, extrai os contracheques, limpa e exporta pra CSV
Stars: ✭ 248 (+1358.82%)
Rstanarmrstanarm R package for Bayesian applied regression modeling
Stars: ✭ 285 (+1576.47%)
mitreThe Microbiome Interpretable Temporal Rule Engine
Stars: ✭ 37 (+117.65%)
EmbracingUncertaintyMaterial for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"
Stars: ✭ 23 (+35.29%)
MelusineMelusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".
Stars: ✭ 222 (+1205.88%)
SDMetricsMetrics to evaluate quality and efficacy of synthetic datasets.
Stars: ✭ 67 (+294.12%)
gym-forestReinforcement learning environment for the classical synthesis of quantum programs.
Stars: ✭ 25 (+47.06%)
data-science-best-practicesThe goal of this repository is to enable data scientists and ML engineers to develop data science use cases and making it ready for production use. This means focusing on the versioning, scalability, monitoring and engineering of the solution.
Stars: ✭ 53 (+211.76%)
hypotheticalHypothesis and statistical testing in Python
Stars: ✭ 49 (+188.24%)
PyLDAA Latent Dirichlet Allocation implementation in Python.
Stars: ✭ 51 (+200%)
FAST-RIRThis is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.
Stars: ✭ 90 (+429.41%)
Data-Scientist-In-PythonThis repository contains notes and projects of Data scientist track from dataquest course work.
Stars: ✭ 23 (+35.29%)