ADA-research / VERONALinks
A lightweight Python package for setting up adversarial robustness experiments and to compute robustness distributions.
☆49Updated last week
Alternatives and similar repositories for VERONA
Users that are interested in VERONA are comparing it to the libraries listed below
Sorting:
- The website for Danish Foundation Models, a project for training foundational Danish language model.☆76Updated last week
- A Scandinavian Benchmark for sentence embeddings☆44Updated last week
- A framework for conducting machine learning experiments in python☆43Updated 11 months ago
- Interpretability for sequence generation models 🐛 🔍☆449Updated last week
- Feedback Forensics: An open-source toolkit to measure AI personality☆24Updated last week
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆245Updated 2 weeks ago
- ☆401Updated this week
- The robust European language model benchmark.☆142Updated this week
- A Library for Uncertainty Quantification.☆922Updated 7 months ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆175Updated last month
- A python package for benchmarking interpretability techniques on Transformers.☆214Updated last year
- The nnsight package enables interpreting and manipulating the internals of deep learned models.☆727Updated this week
- Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning☆209Updated last week
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆268Updated 3 months ago
- Repository for CARTE: Context-Aware Representation of Table Entries☆161Updated 4 months ago
- Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning)…☆287Updated this week
- Shapley Interactions and Shapley Values for Machine Learning☆651Updated 2 weeks ago
- A plotting tool that outputs Line Rider maps, so you can watch a man on a sled scoot down your loss curves. 🎿☆333Updated last year
- 🪄 Interpreto is an interpretability toolbox for LLMs☆71Updated last week
- A Python toolkit for debiasing neural networks in image classification tasks☆82Updated 2 months ago
- A novel approach for synthesizing tabular data using pretrained large language models☆333Updated 2 weeks ago
- Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other …☆716Updated 5 months ago
- Enabling easy statistical significance testing for deep neural networks.☆338Updated last year
- ☆500Updated last year
- The most extensive open massively multilingual corpus of datasets for training sentiment models. The corpus consists of 79 manually selec…☆16Updated 2 years ago
- xRFM: Accurate, scalable, and interpretable feature learning models for tabular data☆32Updated last week
- GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial Data☆25Updated last month
- Implementation of https://srush.github.io/annotated-s4☆507Updated 5 months ago
- Mediterranean Machine Learning school 2025 tutorials☆43Updated 3 months ago
- Monash Scalable Time Series Evaluation Repository☆19Updated 3 months ago