Maciej Kula
where else to find them
no profile links on file
what they talk about
where they keep going back
- PyData Amsterdam2 editions2016–2017
on a stage with
never shared a talk
who talks about the same things
- Olivier Grisel7 talks
- Nick Sorros3 talks
- Vladimir Ageev2 talks
- Matti Lyra3 talks
- Ariel M’ndange-Pfupfu2 talks
- Arnab Dutta4 talks
| title | conference | date |
|---|---|---|
| Neural Networks for Recommender Systems | PyData Amsterdam 2017 | 2017-04-07 |
Neural recommender prototypes use embedding layers in PyTorch with dot‑product scoring, Siamese pairwise losses and an adaptive negative sampler. Code and… | ||
| Hybrid Recommender Systems in Python | PyData Amsterdam 2016 | 2016-03-12 |
Claims a hybrid matrix‑factorization that embeds item and user metadata and therefore handles cold start, reducing parameters by sharing feature embeddings… | ||
| Speeding up search with locality sensitive hashing | EuroPython 2015 | 2015-07-20 |
Claims that locality sensitive hashing via random projection forests gives a practical, deployable approximate nearest‑neighbor index, implemented in Python… | ||
| nothing matches | ||