LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.

Experimental and calculated small molecule hydration free energies

datalab is a place to store experimental data and the connections between them.

Optimal numerical differentiation of noisy time series data in python.

Software for learning sparse Bayesian networks

A workflow to create computation-ready metal-organic framework database.

Experimental small molecule hydration free energy dataset

BEER determines an ECC code's parity-check matrix based on the uncorrectable errors it can cause. BEER targets Hamming codes that are used for DRAM on-die ECC but can be extended to apply to other linear block codes (e.g., BCH, Reed-Solomon). BEER is described in the 2020 MICRO paper by Patel et al.: https://arxiv.org/abs/2009.07985.

ADAPT is designed for the inverse parameter identification of constitutive material models using mathmatical optimisation. It is designed to work with finite element simulations but its modular implementation offers an interface to basically any simulation framework. The tool is able to use global data such as forces as well as local data such as strain or displacement fields for the model calibration. The latter one is based on a robust interpolation scheme for irregular data sets and meshes/query points.

Rapid Data Import Environmnent

Python library and command line tool performing the Transient Scanning Technique by Brouwer et al.

Experimental study and analysis on the effect of using a wide range of different supply voltage values on the reliability, latency, and retention characteristics of DDR3L DRAM SO-DIMMs

Reinforcement Learning Course Project - IIT Bombay Fall 2018

CRAN Task View: Design of Experiments (DoE) & Analysis of Experimental Data

Code for exploring how we distribute our thoughts over time when we remember, using data from a naturalistic memory experiment.

Structure learning for Bayesian networks using the CCDr algorithm.

datalab block plugin for in situ measurements (NMR, UV-Vis, XRD)

A flexible and modular Structure Optimization suite for combining experimental data with energy simulations to create atomic structures.

AspectOCL experiment data

BistableX: Bistable eXploration in Energy Harvesting is a repository of experimental data and analysis tools for bistable energy harvesters under symmetric and asymmetric conditions. The dataset includes FRF, state-space, and Poincaré map analyses to support the validation of nonlinear models for energy harvesting systems.

python-based code to convert experimental DRIFTS data to 3D contour plot

This is repository is for AIN311 Course Project "Eye Tracking and Prior Knowledge"

Python toolkit for processing and analyzing Polarized Resonant Reflectivity Data

Experimental Testing of a Brake-Reuss Beam.

A Python Framework for Integrating Classical and Quantum Mechanical Simulation Data, Experimental Data, and Cheminformatics into a Unified Predictive Engine for Macromolecular Design

Evaluation results and experimental data for TRACER, demonstrating its effectiveness in discovering chatbot functionalities and detecting errors with coverage analysis and mutation testing.

OOP implementations of fusion policies, and simulations analysis compared to experimental data

Processing of experimental IV data - rescaling, centering, switch from I-V to R-I presentation.

This repository contains R code that analyzes data gathered from a lab experiment that studies the influence of time perception on route choices in public transport

A datamodel for describing entities and their semantic associations (e.g., mappings to vocabularies/ontologies) for scientific catalytic data at HZB, including synthesis, characterization, and operando and in situ characterization of catalytic materials.