110 Open source projects that are alternatives of or similar to fastbaps

Multi-core BUGS for fast Bayesian inference of large hierarchical models

Bindings for Bayesian TidyModels

Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree (BART) components.

A common framework for implementing and using log densities for inference.

Implementations of the ICML 2017 paper (with Yarin Gal)

arxiv.org/abs/1801.07710v2

Forward-time simulation in Python using fwdpp

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

R package: Simulate Expression data from igraph network using mvtnorm (CRAN; JOSS)

machine learning algorithms in Swift

Bayesian neural networks in PyTorch

사회과학자를 위한 데이터과학 방법론 (코드 저장소)

A curated list of awesome bioinformatics software.

MTfit code for Bayesian Moment Tensor Fitting

Code to compute the XP-CLR statistic to infer natural selection

Genetics (Initialization, Selection, Crossover, Mutation)

Bayesian Segmentation of Spatial Transcriptomics Data

Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.

Binomica Public Repository for Biological Parts

The sample question for Interview a job in Binary options

Another A/B test library

Genome-wide imputation pipeline

A tool to plot significant regions of GWAS

Digital Expression Explorer 2 (DEE2): a repository of uniformly processed RNA-seq data

CellRank for directed single-cell fate mapping

Adjacency-constrained hierarchical clustering of a similarity matrix

Mini stats toolkit for Clojure/Script

Materials of the Nordic Probabilistic AI School 2021.

Hidden Markov models in PyMC3

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

No description or website provided.

Full Bayesian Inference for Hidden Markov Models

Exploratory analysis of Bayesian models with Julia

A standalone and free application to explore genetics variations from VCF file

Bayesian Generalized Linear Models with Time-Varying Coefficients

Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder

Latent Dirichlet Allocation

Functions for phylogenetic analyses

Manhattan plot Generator

This is the code behind the www.impute.me site. It contains algorithms for personal genome analysis, including imputation and polygenic risk score calculation

Bayesian nonparametric models for python

BAS R package https://merliseclyde.github.io/BAS/

Bayesian spatial analysis

CmdStanR: the R interface to CmdStan

Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.

Pyro models of SARS-CoV-2 variants

Statistical Rethinking course in pymc3

A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search

Fast API server for calculating linkage disequilibrium

Resource of human chromosome schematics & images

Materials of the Nordic Probabilistic AI School 2019.

cheat sheet for Artificial Intelligence

Examples for Bayesian inference using DynamicHMC.jl and related packages.

Implementing MCMC sampling from scratch in R for various Bayesian models

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

Calculate similarity of sentences & Cluster the result.

Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)

An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.