Thomas J Fan
where else to find them
what they talk about
where they keep going back
- PyData NYC3 editions2022–2024
all 4 in the filters
on a stage with
never shared a talk
who talks about the same things
- Vasily Ershov4 talks
- Anna Veronika Dorogush2 talks
- Pedro Tabacof2 talks
- Rebecca Bilbro11 talks
- Ian Ozsvald17 talks
- Guillaume Lemaitre7 talks
| title | conference | date |
|---|---|---|
| Pushing Cython to its Limits in Scikit-learn | PyData NYC 2024 | 2024-11-06 |
scikit-learn shows exactly what was built and what worked: Cython + C++ stdlib + OpenMP for parallelism, Tempita code generation, and fused types produce… | ||
| Scikit-learn on GPUs with Array API | PyData NYC 2023 | 2023-11-01 |
Scikit-learn 1.3 runs a subset of estimators on accelerators by dispatching array operations to CuPy and PyTorch via the Array API standard, yielding… | ||
| Parallelism in Numerical Python Libraries | PyData NYC 2022 | 2022-11-09 |
Shows which libraries actually parallelize (NumPy linear algebra vs elementwise ops), links NumPy to BLAS/MKL/OpenBLAS, and demonstrates threadpoolctl and… | ||
| Do You Want To Build A Forest? | PyData Austin 2019 | 2019-12-07 |
Shows concrete claims and working code: scikit-learn adds histogram gradient boosting (binning avoids sorts, compiled with OpenMP/Cython), matches other fast… | ||
| Deep Dive into scikit-learn's HistGradientBoosting Classifier.. | PyData New York City 2019 | 2019-11-04 |
scikit-learn implements histogram GBDT that claims comparable accuracy and training time to XGBoost CatBoost and LightGBM on large problems by using histogram… | ||
| Skorch - A Union of Scikit-learn and PyTorch | PyData DC 2018 | 2018-11-16 |
A scikit‑learn–compatible wrapper called skorch actually hides the training loop and exposes fit / partial_fit / set_params so neural nets plug into pipelines… | ||
| nothing matches | ||