Project AURIONAI Use-Cases Research & Innovation
Stanford University

Stanford University

University, USA. 32 models in the directory.

universityUSA
0deployments

Identity

Type
university
Country label
USA
HQ country
USA
Founding country
USA
Parent
not in the notes
Parent country
not in the notes
Country basis
the research notes
Where this comes from
Convention D1: a dual label, HQ first, when the HQ, founding or parent country differ.

Models by Class

Models

ModelClassOpennessParametersReleased
Stanford UniversityAsymFLUX.2 kleinimage generationunknown–May 2026Stanford UniversityOpenVLA-OFTrobot policyopen source7B27 Feb 2025Stanford UniversityMedVAEvisionopen weights permissive–20 Feb 2025Stanford Universitys1Stanford University, University of Washington, Allen AI, Contextual AIreasoningunknown–Jan 2025Stanford UniversityWonderWorldworld modelunknown–13 Jun 2024Stanford UniversityOpenVLAStanford University, UC Berkeley, Toyota Research Institute (TRI)robot policyopen source7BJun 2024Shanghai AI LabAnimateDiffShanghai AI Lab, The Chinese University of Hong Kong, Stanford Universityvideo generationunknown–10 Jul 2023Shanghai AI LabAnimateDiffShanghai AI Lab, The Chinese University of Hong Kong, Stanford Universityvideo generationopen weights permissive–10 Jul 2023Stanford UniversityACT (Action Chunking with Transformers)robot policyopen source–23 Apr 2023Stanford UniversityControlNet 1.1image generationopen weights restricted–12 Apr 2023Stanford UniversityControlNetimage generationunknown–10 Feb 2023Stanford UniversityControlNet 1.0image generationopen weights restricted–8 Feb 2023Stanford UniversityStreetCLIPgeospatialopen weights restricted–1 Feb 2023Stanford UniversityBioMedLMLLMopen weights restricted–14 Dec 2022Stanford UniversitySatMAEgeospatialopen weights restricted–17 Jul 2022Stanford UniversitySimple-BEVStanford University, Carnegie Mellon Universitydrivingopen source–16 Jun 2022Stanford UniversityStanford De-identifier baselanguage encoderopen weights permissive–16 Jun 2022MetaImVoteNetMeta, Stanford Universityvisionunknown–29 Jan 2020Stanford UniversityMinkUNetvisionunknown–18 Apr 2019Massachusetts Institute of TechnologyGIN (Graph Isomorphism Network)Massachusetts Institute of Technology, Stanford Universitygraphopen source–1 Oct 2018Stanford UniversityCheXNetvisionunknown–14 Nov 2017GoogleDCN (Deep and Cross Network)Google, Stanford Universityrecommendationopen source–17 Aug 2017Stanford UniversityGraphSAGEgraphunknown–7 Jun 2017Stanford UniversityPointNet++visionunknown–7 Jun 2017Stanford UniversityPointNetvisionunknown–2 Dec 2016GoogleLFADSGoogle, Stanford Universityscientificunknown–22 Aug 2016Stanford Universitynode2vecgraphopen source–3 Jul 2016Stanford UniversityFast Neural Style Transferimage generationunknown–27 Mar 2016Stanford UniversityGloVeembeddingunknown–Oct 2014Stanford UniversityCheXagentmultimodal LLMunknown––Stanford UniversityOpenVLArobot policyunknown––Stanford UniversityPointNetvisionunknown––

Scores

BenchmarkModelScoreWho ran itSetting
AIME24s156.7 %vendor-reportedafter SFT on 1,000 examples (base 26.7)
GenEvalAsymFLUX.2 klein0.82 scorevendor-reportedpaper-reported, labelled unverified by Codesota; year 2026
LIBEROOpenVLA76.5 %vendor-reportedAverage; baseline reported in OpenVLA-OFT paper
LIBEROOpenVLA-OFT97.1 %vendor-reportedAverage
WorldScoreWonderWorld50.88 scoremaintainer-runDynamic aggregate
WorldScoreWonderWorld72.69 scoremaintainer-runStatic aggregate
Where this comes from
Every recorded score of this organisation's models, with who ran it. Scores from different settings are not directly comparable.

Sources

  1. SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery arxiv.org https://arxiv.org/abs/2207.08051
  2. OpenVLA: An Open-Source Vision-Language-Action Model arxiv.org https://arxiv.org/abs/2406.09246
  3. Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success arxiv.org https://arxiv.org/abs/2502.19645
  4. huggingface.co/microsoft/maira-2 https://huggingface.co/microsoft/maira-2
  5. s1: Simple test-time scaling arxiv.org https://arxiv.org/html/2501.19393v1

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Stanford University", https://aurion.semai.id/organisations/stanford-university/, records of October 2026.