-
Delft University of Technology
- Netherlands
- https://www.patalt.org/
- @[email protected]
- https://www.linkedin.com/feed/
- https://medium.com/@patrick.altmeyer
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A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
Evaluating Robustness of Neural Networks with Mixed Integer Programming
Template for Julia Programming Language packages using the copier engine.
Website/Main organization
An adversarial machine learning toolkit for Flux.jl neural networks
GeCo: Quality Counterfactual Explanations in Real Time
Tidier data visualization in Julia, modeled after the ggplot2 R package.
Documentation with Documenter.jl and VitePress
Tidier database analysis in Julia, modeled after the dbplyr R package.
Julia macro for re-exporting one module from another
Differentiable tree-based models for tabular data
Porting the R code from the draft 3rd edition of Statistical Rethinking to Julia. Written in Quarto.
A plugin for Documenter.jl that enables linking between projects
Julia package for inference and training of Llama-style language models
Comprehensive guide to generative AI projects and resources in Julia.
Streamline your life using PromptingTools.jl, the Julia package that simplifies interacting with large language models.
Codebase for FOMC-NLP, accepted at ACL 2023 (main)
Repository for the AAAI 2024 paper "Promoting Counterfactual Robustness through Diversity"
Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.
An example package for submissions to JuliaCon
🏔️Manopt. jl – Optimization on Manifolds in Julia
Visualization for Flux.Chain neural networks
This is an open-source tool to assess and improve the trustworthiness of AI systems.