LiveBench: A Challenging, Contamination-Free LLM Benchmark

Code for minimum-entropy coupling.

AI Logging for Interpretability and Explainability🔬

The Mojo Programming Language

[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

Official Implementation of "DeLLMa: A Framework for Decision Making Under Uncertainty with Large Language Models"

A networked note management plugin for Vim

[AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both forward and inverse problems.

A framework for merging models solving different tasks with different initializations into one multi-task model without any additional training

Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets

Code accompanying "Targeted materials discovery using Bayesian algorithm execution"

Code for DeMuX: Data-efficient Multilingual Learning

Design space subset estimation using Bayesian algorithm execution with sklearn GP models

Text-Guided Synthesis of Scientific Vector Graphics with TikZ

Dynamic causal Bayesian optimisation

Manifold Markets: A market for every question

Automated Bayesian model discovery for time series data

Library for causal and probabilistic inference in Julia

Make expandable explanations!

best-action trajectory stitching

PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight