malacoda

Bambi (BAyesian Model-Building Interface) is a high-level Python package for fitting Bayesian generalized linear and generalized linear mixed models using a concise, R-style Wilkinson formula syntax.

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Use when working with Convex.jl — a Julia package for Disciplined Convex Programming (DCP) that formulates and solves convex optimization problems with natural mathematical syntax. Covers problem cons

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Use when working with CVXPY — a Python-embedded domain-specific language for convex optimization problems. Covers problem construction with the DCP (Disciplined Convex Programming) ruleset, all built-

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DeepVariant — CNN-based variant caller that converts aligned reads into pileup image tensors and classifies them with a deep neural network to produce SNP and indel calls in VCF/gVCF format. Supports

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EpiEstim — CRAN R package from the MRC Centre for Global Infectious Disease Analysis for estimating the time-varying (instantaneous) reproduction number R_t from epidemic incidence time series. Implem

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