experimental-data

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

Software for learning sparse Bayesian networks

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://people.inf.ethz.ch/omutlu/pub/BEER-bit-exact-ECC-recovery_micro20.pdf.

Optimal numerical differentiation of noisy time series data in python.

Experimental small molecule hydration free energy dataset

Rapid Data Import Environmnent

Reinforcement Learning Course Project - IIT Bombay Fall 2018

Structure learning for Bayesian networks using the CCDr algorithm.

A collection of behavioral data sets & some functions for extracting semantic associations and network structures from term-feature matrices.

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

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

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

Supplementary material for "Identifying density-dependent interactions in collective cell behaviour"

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

A python module aimed at expediting the analysis of biological systems with ODE models

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

Supplementary data for "A Bayesian Sequential Learning Framework to Parameterise Continuum Models of Melanoma Invasion into Human Skin" Bull Math Biol 2019

Experimental Testing of a Brake-Reuss Beam.

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

Calculate torsional response for Closed-Thin Walled and Open Thin-Walled theory, then compare with experimental data.

R Project for the data analysis & manuscript of CamIO ICCHP20 paper

AspectOCL experiment data

A web-based platform to facilitate experimental data understanding and communication, which combines an efficient backend DBMS for storage and querying with web-based functions for schema design, data entry/management, as well as dynamic data analysis and visualization.

Results of studying characteristic data of electrical components

Making transport analysis accessible for experimental scientists.

Finding of convertion coefficient for further recalculation of probability (P) into the temperature (T).

Processing of IV data obtained in experiments - rescaling, centering, converting to RI.

MIT 6.00.2x Introduction to Computational Thinking and Data Science coursework