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A vector index built on TurboQuant, written in Rust with Python bindings
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
Named Entity Recognition with an decoder-only (autoregressive) LLM using HuggingFace
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
A lightweight Python library that automatically discovers, evaluates, and tunes parameters of multi-provider LLM pipelines to balance quality, cost, and latency.
A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
Python implementation of adversarial random forests for density estimation and generative modelling
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
A topic-centric list of HQ open datasets.
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Kode og spesifikasjoner til partnere/leverandører av sluttbrukersystemleverandører for årsoppgjør/skattemeldingen.
A starter template for Skatteetaten data science / data engineering projects
⚡ Dynamically generated stats for your github readmes
Unified framework for building enterprise RAG pipelines with small, specialized models
Turns Data and AI algorithms into production-ready web applications in no time.
Explaining the output of machine learning models with more accurately estimated Shapley values
Generate Diverse Counterfactual Explanations for any machine learning model.
An unofficial styleguide and best practices summary for PyTorch
Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
Missing value imputation in methylation data R package
Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition