Table_1_An application programming interface implementing Bayesian approaches for evaluating effect of time-varying treatment with R and Python.pdf by Chen Chen (6544)

“…Here, we introduce an application programming interface (API) that implements both BART and GP for estimating averaged treatment effect (ATE) and conditional averaged treatment (CATE) for the two-stage time-varying treatment strategies.…”

Implementations benchmark. by Serena Aneli (17002149)

Python sript. by Kan Jia (6438599)

PYTHON by Kan Jia (21666161)

Tools used in implementing the RNN models. by Fahmi H. Quradaa (17896527)

Subjects:

A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data by Anthony S. Barente (14035175)

Subjects:

Python script of the PREDICATE tool written in a Jupyter Notebook format. by Nantia Leonidou (14833068)

Sampling parameters and adding metabolic structure. by Robert Marsland (8616483)

Subjects:

Analysis of the selected studies in terms of tools used for implementing RNN models. by Fahmi H. Quradaa (17896527)

Subjects:

Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management by Pavel Izosimov (20096259)

“…</li><li><b>Commercial Distribution</b>: Safely share Python code with clients or customers, implementing advanced <b>Python code protection tools</b> for sales or rentals.…”

Python programming code for the stochastic inference of disease interval distributions. by Günter Schneckenreither (10099380)

Reproducing neural dynamics recorded from larval zebrafish subpallium. by Lu Bin Liu (14279482)

Subjects:

Delayed response task in a network of 5000 spiking leaky-integrate-and-fire neurons. by Lu Bin Liu (14279482)

Subjects:

FWC python implementation by Roland Mühlenbernd (11755871)

Implementation of the SAACS in python. by Pavel Škrabánek (6106427)

Recombination and mutation estimation times using the fastest (dynamic-numba) likelihood implementation depending on the number of markers. by Serena Aneli (17002149)

Effects on 3D modeling of optimal <i>σ</i> values and DOPE. by Giacomo Janson (8138517)

Subjects:

BSTPP: a python package for Bayesian spatiotemporal point processes by Isaac Manring (20705955)

“…<p>Spatiotemporal point process models have a rich history of effectively modeling event data in space and time. However, they are sometimes neglected due to the difficulty of implementing them. …”

A Python implementation of Gardner's model by Quentin Brissaud (12461415)

“…<p>A Python implementation of Gardner's model to generate atmospheric gravity-wave perturbations</p>…”

Effect of <i>|Δd</i>_<i>n</i><i>|</i> perturbation on 3D modeling. by Giacomo Janson (8138517)

Subjects: