The open source coding agent.

Examples of Verbalized Machine Learning (VML)

Minimal repository for the preprint "Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models"

An electrocardiogram analysis foundation model.

Hydra is a framework for elegantly configuring complex applications

⚡ TabPFN: Foundation Model for Tabular Data ⚡

Simulation-based inference benchmark

sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has …

Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.

Code for the causal benchmark library

A highly efficient implementation of Gaussian Processes in PyTorch

Laplace approximations for Deep Learning.

A PyTorch module for learning stable RNN models of dynamical systems

Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.

Lecture "A computational introduction to stochastic differential equations".

Page for the SML book

Repository for paper "Unsupervised Disentanglement without Autoencoding: Pitfalls and Future Directions" featured at the ICML 2021 Workshop Self-Supervised Learning for Reasoning and Perception

disentanglement_lib is an open-source library for research on learning disentangled representations.

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

Language Modeling Example with Transformers and PyTorch Lighting

Toolbox of models, callbacks, and datasets for AI/ML researchers.

The Abstraction and Reasoning Corpus

Code for Multi-Head Attention: Collaborate Instead of Concatenate