CogniBench is a software framework for benchmarking cognitive models
-
Updated
Jul 30, 2020 - Python
CogniBench is a software framework for benchmarking cognitive models
Meta-segmented cross-validation (Matlab & python implementation)
Model versioning using Weight&Biases with Python.
This project aims to explore concepts that I have only read about so far, like principal component analysis. Most of these tools come from the sklearn library, so I have the benefit of exploring this useful library. We will be using the data set from the Kaggle housing competition to build a regressor model that predicts the sale price of houses.
Framework for probing tasks.
Article about helpful scikit-learn companion libraries. If you find it useful please leave a star =)
Forecast Verification/Validation Tools in Python
LeagueOfPredictions is an experimental project utilizing predictive analytics to enhance game outcome predictions during the "Pick & Ban Phase" of League of Legends.
An alternative (smarter) way to perform Cross Validation
This project investigated the behavior of a nonlinear harmonic oscillator solver and explained the observed loss of accuracy under certain conditions. It extended a linear harmonic oscillator solver to a nonlinear counterpart using the model 'Method of Manufactured Solutions'.
Calibration of the significant Social Force Parameters in Vissim
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Add a description, image, and links to the model-validation topic page so that developers can more easily learn about it.
To associate your repository with the model-validation topic, visit your repo's landing page and select "manage topics."