Today, give a try to Techtonique web app, a tool designed to help you make informed, data-driven decisions using Mathematics, Statistics, Machine Learning, and Data Visualization. Here is a tutorial with audio, video, code, and slides: https://moudiki2.gumroad.com/l/nrhgb. 100 API requests are now (and forever) offered to every user every month, no matter the pricing tier.
In the new version (0.51.2) of nnetsauce (for Python, but also for R), available on PyPI and for conda, I removed jax and jaxlib (for GPU) from the default version, because jaxlib is heavy.
It means that if you want to use GPUs with nnetsauce (as in https://www.researchgate.net/publication/382589729_Probabilistic_Forecasting_with_nnetsauce_using_Density_Estimation_Bayesian_inference_Conformal_prediction_and_Vine_copulas), you’d want to explicitly install jax:
pip install nnetsauce[jax]
or
uv pip install nnetsauce[jax]
or
conda install -c conda-forge nnetsauce jax jaxlib
Citation
For attribution, please cite this work as:
T. Moudiki (2026-02-23). nnetsauce with and without jax for GPU acceleration. Retrieved from https://thierrymoudiki.github.io/blog/2026/02/23/r/python/nnetsauce-without-jax
BibTeX citation (remove empty spaces)
@misc{ tmoudiki20260223,
author = { T. Moudiki },
title = { nnetsauce with and without jax for GPU acceleration },
url = { https://thierrymoudiki.github.io/blog/2026/02/23/r/python/nnetsauce-without-jax },
year = { 2026 } }
Previous publications
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- AdaOpt (a probabilistic classifier based on a mix of multivariable optimization and nearest neighbors) for R May 22, 2020
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- Custom errors for cross-validation using crossval::crossval_ml May 8, 2020
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- Encoding your categorical variables based on the response variable and correlations Apr 24, 2020
- Linear model, xgboost and randomForest cross-validation using crossval::crossval_ml Apr 17, 2020
- Grid search cross-validation using crossval Apr 10, 2020
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- Time series cross-validation using crossval Mar 27, 2020
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- Import data into the querier (now on Pypi), a query language for Data Frames Mar 13, 2020
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- Version 0.4.0 of nnetsauce, with fruits and breast cancer classification Feb 28, 2020
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- A new version of nnetsauce (v0.3.1) Jan 24, 2020
- ESGtoolkit, a tool for Monte Carlo simulation (v0.2.0) Jan 17, 2020
- Search bar, new year 2020 Jan 10, 2020
- 2019 Recap, the nnetsauce, the teller and the querier Dec 20, 2019
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- Using the `teller` on a classifier Dec 6, 2019
- Benchmarking the querier's verbs Nov 29, 2019
- Composing the querier's verbs for data wrangling Nov 22, 2019
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- Tests for the significance of marginal effects in the teller Nov 8, 2019
- Introducing the teller Nov 1, 2019
- Introducing the querier Oct 25, 2019
- Prediction intervals for nnetsauce models Oct 18, 2019
- Using R in Python for statistical learning/data science Oct 11, 2019
- Model calibration with `crossval` Oct 4, 2019
- Bagging in the nnetsauce Sep 25, 2019
- Adaboost learning with nnetsauce Sep 18, 2019
- Change in blog's presentation Sep 4, 2019
- nnetsauce on Pypi Jun 5, 2019
- More nnetsauce (examples of use) May 9, 2019
- nnetsauce Mar 13, 2019
- crossval Mar 13, 2019
- test Mar 10, 2019
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