Pretrained model for molecular wavefunctions

Implementation of Forward Laplacian algorithm in JAX

CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design

Bayesian active learning with EPIG data acquisition

Deep learning quantum Monte Carlo for electrons in real space

CSuite: A Suite of Benchmark Datasets for Causality

CoMP: Contrastive Mixture of Posteriors

Score-based generative models for compact manifolds

Pytorch implementation of COIN++ 🍁

Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods

maximal update parametrization (µP)

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

Data Efficient Decision Making

Code for 'On Contrastive Representations of Stochastic Processes' https://arxiv.org/abs/2106.10052

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design

LaTeX template for an Oxford University thesis

PyTorch Implementation of Generative Query Network

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

Improving Transformation Invariance in Contrastive Representation Learning

Spirograph dataset from Improving Transformation Invariance in Contrastive Representation Learning

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Repository of models in Pyro

A simple command line tool to show GPU usage on a SLURM cluster

The codes used for the numerical experiments in the paper(https://arxiv.org/abs/2005.08414)

A Machine Learning workflow for Slurm.