Subsampling continuous and discrete response variablesJanuary 22, 2024 | T. Moudiki Subsampling continuous and discrete response variables in nnetsauce version 0.16.3 [...Read more...]
Diffusion models in Python with esgtoolkit (Part2)December 18, 2023 | T. Moudiki Diffusion models in Python with esgtoolkit (Part2). [...Read more...]
Diffusion models in Python with esgtoolkitDecember 11, 2023 | T. Moudiki Diffusion models in Python with esgtoolkit. [...Read more...]
Quasi-randomized nnetworks in Julia, Python and RNovember 27, 2023 | T. MoudikiMachine Learning Classification with quasi-randomized nnetworks in Julia, Python and R [...Read more...]
A plethora of datasets at your fingertipsNovember 20, 2023 | T. Moudiki Dowload data from R-Universe API [...Read more...]
A classifier that’s very accurate (and deep)November 12, 2023 | T. Moudiki nnetsauce version 0.15.0, an example of a deep-layered classifier calibrated with Automated Machine Learning (AutoML) [...Read more...]
mlsauce version 0.8.10: Statistical/Machine Learning with Python and RNovember 5, 2023 | T. Moudiki Statistical/Machine Learning with Python and R, using mlsauce's AdaOpt and LSBoost [...Read more...]
AutoML in nnetsauce (randomized and quasi-randomized nnetworks) Pt.2: multivariate time series forecastingOctober 29, 2023 | T. Moudiki AutoML with nnetsauce, that implements randomized and quasi-randomized 'neural' networks for supervised learning and time series forecasting [...Read more...]
AutoML in nnetsauce (randomized and quasi-randomized nnetworks)October 22, 2023 | T. MoudikiAutoML with nnetsauce, that implements randomized and quasi-randomized 'neural' networks for supervised learning and time series forecasting [...Read more...]
Version v0.14.0 of nnetsauce for R and PythonOctober 16, 2023 | T. Moudiki Randomized and Quasi-Randomized 'neural' networks for supervised learning and multivariate time series forecasting [...Read more...]