Romeo Kienzler
where else to find them
bluesky:romeokienzler.bsky.social
what they talk about
all 4 in the filters
where they keep going back
no series more than once — all 5 in the filters
on a stage with
- Rosie Lickorishonce
who talks about the same things
- Erin Mikail Staples6 talks
- Patrick Deziel4 talks
- Katharine Jarmul25 talks
- Adrin Jalali10 talks
- Kesha Williams7 talks
- Daniel Whitenack5 talks
| title | conference | date |
|---|---|---|
| TerraKit: Standardising AI-Ready Geospatial Data... | PyTorch Conference Europe 2026 | 2026-04-07 |
An open‑source Python library called TerraKit automates retrieval, processing, alignment and spatial train/val splitting of EO raster/vector labels into… | ||
| Privacy by Design Machine Learning | PyData Fest Amsterdam 2020 | 2020-06-15 |
Demonstrates a working pipeline that moves training to devices using federated learning, runs update aggregation in Python notebooks with an open‑source… | ||
| Trusted AI – Building Reproducible, Unbiased and... | PyData Warsaw 2019 | 2019-12-12 |
Presents concrete methods and working Python code for reproducible, auditable machine learning by capturing experiment provenance and dataset lineage, using… | ||
| OpenTech AI for Everyone: How to Train, Deploy and Scale DeepLearning... | Codemotion Rome 2018 | 2018-04-13 |
Shows an open-source deep learning stack built on OpenPower clusters and GPUs, with InfiniBand links supporting 600 GB/s so memory access scales across nodes… | ||
| Applied AI: Classify Art Using Deep Learning | Codemotion Rome 2018 | 2018-04-13 |
Shows how to build and train convolutional neural networks to classify artwork using Keras on top of TensorFlow, without requiring detailed linear algebra… | ||
| JVM based DeepLearing on IoT data with Apache Spark | Jazoon Zurich Autumn 2017 | 2017-10-26 |
Shows a runnable pipeline that trains an LSTM autoencoder on IoT sensor streams using DeepLearning4J on Apache Spark, running distributed on CPU/GPU clusters… | ||
| nothing matches | ||