[T@W intro] Madelon Hulsebos - Table Representation Learning with Transformers
Table Representation Learning by Madelon Hulsebos - Zeta Alpha's Transformers at Work 2023
Madelon Hulsebos on Tabular Machine Learning - Weaviate Podcast #72!
GitTables a large corpus of relational tables - Madelon Hulsebos
Madelon Hulsebos, Tomislav Suhina & Joost Boonzajer Flaes - Keep the Data Flowing | PyData Fest AMS
Madelon Hulsebos | GitTables: A Large-Scale Corpus of Relational Tables | #36
Towards “Large Table Models” for Enterprise Data Management, Madelon Hulsebos, Seminar@TUDarmstadt
You're always (always!) dealing with many (many!) tables - with Madelon Hulsebos
Transformers at Work 2023 - Panel on the future and challenges of Transformers, LLMs & AI in general
GitTables: A Large-Scale Corpus of Relational Tables
Making Table Understanding Work in Practice
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository
Sherlock: A Deep Learning Approach to Semantic Data Type Detection
Introducing the Observatory Library for End-to-End Table Embedding Inference
Augmenting Decision Making via Interactive What-If Analysis
LENS: Towards LLMs That Can See - Douwe Kiela - Transformers at Work
Ben Batorsky - Introduction to Natural Language processing | PyData Boston May Meetup
pandas and friends - Marc Garcia
Locally Optimistic Tool Talk: Great Expectations
Naomi Saphra (Keynote) - Accessible Means Hackable | PyData Fest Amsterdam 2020
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