willieneis

mojo

The Mojo Programming Language

torchsparse

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

nutshell

Make expandable explanations!

manifold

Manifold Markets: A market for every question

Open-Beam-Interface

doremi

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

ZipIt

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

LiveBench

LiveBench: A Challenging, Contamination-Free LLM Benchmark

research-career-tools

paradigms

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

tabzilla

vim-roam

A networked note management plugin for Vim

logix

AI Logging for Interpretability and Explainability🔬

AutomaTikZ

Text-Guided Synthesis of Scientific Vector Graphics with TikZ

AutoGP.jl

Automated Bayesian model discovery for time series data

SWN

DeLLMa

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

sustaingym

Reinforcement Learning Environments for Sustainable Energy Systems

LabelBench

k2-train

DCBO

Dynamic causal Bayesian optimisation

mec

Code for minimum-entropy coupling.

multibax-sklearn

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

k2-data-prep

Autumn.jl

Library for causal and probabilistic inference in Julia

le-pde-uq

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

demux

Code for DeMuX: Data-efficient Multilingual Learning

bats

best-action trajectory stitching

materials-bax-gpflow

Code accompanying "Targeted materials discovery using Bayesian algorithm execution"

parity-calibration