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

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 a…

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.

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

Datalab plugin for In Situ NMR

AspectOCL experiment data

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