Simple, unified interface to multiple Generative AI providers

Code repository for "Uncovering simultaneous breakthroughs with a robust measure of disruptiveness" paper

Template for Python-based data science projects in the Alexandra Institute.

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

A python package for inferring psychological embeddings.

Scalable DBSCAN and OPTICS for clustering high-dimensional datasets using random projections

Python MIToolbox

Hyperuniformity in urban systems

Open source project to tackle the problem of long development cycles required to produce software to conduct multi-participant and real-time human experiments online.

Approximate Nearest Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.

Awesome-LLM: a curated list of Large Language Model

A curated list of awesome network analysis resources.

Free and open-source map hosting solution with custom styles for websites and apps, using OpenStreetMap data

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have differ…

Create an open source toy dataset for finetuning LLMs with reasoning abilities

A Python library for dynamic classifier and ensemble selection

Mechanistic Interpretability Visualizations using React

DeepSurv is a deep learning approach to survival analysis.

A library for bayesian variable selection

Sparse probing paper full code.

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

Discriminative Feature Selection via A Structured Sparse Subspace Learning Module

A LLMs-driven social bots dataset collected from Chirper.ai

A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.