Rubén Laplaza's starred repositories

figshare-doi-badge

testing badge inclusion in readme

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cc4s

Coupled Cluster for solids. Mirror of https://gitlab.cc4s.org/cc4s/cc4s

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Bayesian-Illumination

Bayesian Illumination is an accelerated generative model for optimization of small molecules.

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linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2023 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

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libconeangle

Library for calculating exact ligand cone angles

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test-drive

The simple testing framework

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pykinetic

Pykinetic is a project that aims to facilitate the automation and generation of kinetic and microkinetic models. Pykinetic acts as an intermediate layer between the user and the mathematical model that is then simulated to obtain the kinetic data. It provides a python-based API as well as command-line scripts for generating the model.

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UVeh-Vis

Python script for UV-VIs plotting of Qchem output files

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xyz2mol

Converts an xyz file to an RDKit mol object

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gdis

A visualization program for the display, manipulation, and analysis of isolated molecules and periodic structures

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pwtools

pwtools is a Python package for pre- and postprocessing of atomistic calculations, mostly targeted to Quantum Espresso, CPMD, CP2K and LAMMPS. It is almost, but not quite, entirely unlike ASE, with some tools extending numpy/scipy. It has a set of powerful parsers and data types for storing calculation data.

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ml_molsim

Machine learning exercises for the MolSim course (http://www.acmm.nl/molsim/molsim2023/index.html)

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bioicons

A library of free open source icons for science illustrations in biology and chemistry

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coapy

A Python package to generate collaborator info for NSF COA forms

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torchani

Accurate Neural Network Potential on PyTorch

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gt4sd-core

GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.

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JointMDS

Official implementation of Joint Multidimensional Scaling

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VennABERS

Fast implementation of Venn-ABERS probabilistic predictors

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MAPIE

A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

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mecpro

Python mimium energy crossing point program

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reaction-network

Reaction Network is a Python package for predicting likely inorganic chemical reaction pathways using graph theoretical methods. Project led by @mattmcdermott (Lawrence Berkeley National Lab).

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NaviCat

A platform for catalyst discovery

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DreamBerd

perfect programming language

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flexible-slurm-plugin

Customized plugin interfacing Covalent with Slurm

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awesome-chemical-engineering-education

A curated list of online chemical engineering education resources

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CPMD

The CPMD code is a parallelized plane wave / pseudopotential implementation of Density Functional Theory, particularly designed for ab-initio molecular dynamics.

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Advanced_Jobflow_Tutorial

This is a repository containing an advanced tutorial for jobflow (https://github.com/materialsproject/jobflow) related to computational materials science

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