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Turning Tabular Foundation Models into Graph Foundation Models
A typographically elegant, clean, and structured LaTeX template.
Probabilistic modeling of tabular data with normalizing flows.
A custom view build with Obsidian-Dataview to display tasks from Obsidian-Tasks and from your daily notes in a highly customisable calendar with a wide variety of views
⚡ TabPFN: Foundation Model for Tabular Data ⚡
The code for the bus timing app on an e-ink display
Graph Neural Networks for Tabular Data Learning (GNN4TDL)
A curated list of papers on graph structure learning (GSL).
Network-wide ads & trackers blocking DNS server
Project (Sentiment Classification with Deep Learning) for the course "Natural Language Processing1" at the University of Amsterdam
Finetune smaller LLMs with Chain-of-Thought examples to enable reasoning capabilities.
Sioyek is a PDF viewer with a focus on textbooks and research papers
Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]
Using Geometric DL for neural rendering to train roto-transnational equivariant.
Assignments of the course Reinforcement Learning
JAX implementation of Sequential Neural Likelihood Estimation (SNLE) and Sequential Neural Ratio Estimation (SNRE) simulation-based inference algorithms
A system for scientific simulation-based inference at scale.
convenience layer for inference and probabilistic programming in Python