Grigory Petrov, Maxim DanilovBest Practice, Coding / Code-Review, Development Methods
top-10 Python complexities and how they are required to fight the "software complexity problem" in big projects
Bas SteinsDatabases, Django
Leverage the potential of Django ORM to write complex queries, optimize performance and have fun with constraints
sonamDiversity & Inclusion, Ethics (Privacy, Fairness,… ), Natural Language Processing
Study of gender biases in popular language models and debiasing model techniques
Jonathan Oberländer, Patrick SchemitzArt, Databases
From an empty Python file to a fully-featured ORM in 45 minutes
Jan-Benedikt Jagusch, Christian BourjauData Engineering, DevOps, Packaging
In this session, you will learn how to use ONNX for your machine learning model deployments, which can reduce your single-row inference time by up to 99% while also drastically simplifying your model management.
Tarek MehrezAPIs, Architecture, Parallel Programming / Async
Ever wondered when you should favor an async web framework? How do they compare to your good old python services when scaling is in question? Then this is the talk for you
Valerio MaggioNeural Networks / Deep Learning, Security
Have you ever wondered how to train your @PyTorch model on private data you cannot see? If you want to know how, this is the workshop for you! #PPML cc/ @openminedorg
Aleksander MolakGraphs, Neural Networks / Deep Learning
Practical Graph Neural Networks (GNNs) with Spektral & TensorFlow 🤩
Christian HeimesPython - CPython new features
Compile CPython to Web Assembly, and run it in web browsers or Node.js.
Dr. Thomas WollmannDistributed Computing, Neural Networks / Deep Learning, Parallel Programming / Async
Learn why we built and open sourced a data infrastructure library for deep learning.