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Corollary
  1. Catalog

Library

Find the model or dataset for the question you have.

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Models
309
Datasets
254
Organisations
148

Labs, institutes and companies

Ready to run
21

Including 6 that run free and instantly

Looking for a particular value, not a particular dataset?Search schemas, rows and column statistics inside the data itself.
Every model, A–Z309
  • AbLang2Oxford Protein Informatics Group
  • ABMIL (CONCH v1.5 features, pc108-24k)MahmoodLab
  • ABMIL (UNI features, pc108-24k)MahmoodLab
  • ABMIL (UNI2 features, pc108-24k)MahmoodLab
  • ACE2-ERA5allenai
  • ADMET-AISwanson et al., Stanford
  • AIFS ENS 1.0ecmwf
  • AIFS ENS 2.0ecmwf
  • AIFS Single 0.2.1ecmwf
  • AIFS Single 1.0ecmwf
  • AIFS Single 1.1ecmwf
  • AIFS Single 2.0ecmwf
  • AIMNet2 (B97-3c, 2025)isayevlab
  • AIMNet2 ωB97M-D3isayevlab
  • AIMNet2-NSEisayevlab
  • AIMNet2-Pdisayevlab
  • AIMNet2-rxnisayevlab
  • Aion Basepolymathic-ai
  • AlphaFlow / BioEmuMIT / Microsoft Research
  • AlphaFold DB LookupDeepMind / EMBL-EBI
  • AlphaFold2DeepMind (served as BioNeMo NIM)
  • AlphaGenomegoogle
  • AmberToolsAmber consortium
  • ANARCIOxford Protein Informatics Group
  • AntiFoldHummer et al., DTU
  • AQAffinitySandboxAQ
  • AstroCLIPpolymathic-ai
  • AstroLLaMAUniverseTBD
  • Auroramicrosoft
  • AutoDock VinaScripps Research
  • AutoDock-GPUScripps Research
  • AVES2-BEATsEarthSpeciesProject
  • BindCraftOvchinnikov Lab / Baker Lab
  • BioCLIP 2imageomics
  • BioEmumicrosoft
  • BioMedGPT-R1PharMolix / OpenBioMed
  • BioReason-Pro RLwanglab
  • BioReason-Pro SFTwanglab
  • BioVERSEIBM Research
  • BOA — Basis Overlap Architecturesciai-lab
  • Boltz-2MIT × Recursion
  • Botanic0-Lliving-models
  • Botanic0-Mliving-models
  • Botanic0-Sliving-models
  • Botanic1-Lliving-models
  • Botanic1-Mliving-models
  • Botanic1-M SAE (k=64, codebook 8192)living-models
  • Botanic1-Sliving-models
  • Carbon-3BHuggingFaceBio
  • Carbon-500MHuggingFaceBio
  • Carbon-8BHuggingFaceBio
  • Carbon-AHugging Face, from GENERanno (Gener Team)
  • Carbon-XHugging Face, Zhongguancun Academy and TIGEM
  • cBottlenvidia
  • CellFMMulti-institution consortium
  • Chai-1Chai Discovery
  • ChatNTInstaDeepAI
  • Chemprop D-MPNN — toxicity panelSwanson et al., Stanford · Chemprop, MIT
  • Clinical Camel 70Bwanglab
  • ColabFoldSteinegger Lab
  • CoLiPRImicrosoft
  • CONCHMahmoodLab
  • CONCH v1.5MahmoodLab
  • CYP Inhibition Modelopenadmet
  • DeepSpot-Mratschlab
  • DiffDockMIT / Barzilay Lab
  • DiffDock-PPMIT
  • DiffLinkerCorreia Lab / EPFL
  • DiffSBDDCorreia Lab / EPFL
  • DNABERT-2Zhou et al., Northwestern
  • DoctoBERT-fr-basedoctolib-lab
  • DoctoModernBERT-fr-basedoctolib-lab
  • DPLM-2Nanjing University / ByteDance
  • EnformerDeepMind
  • Equiformer v3mirror-physics
  • ESM-IF1Meta FAIR
  • ESM2-3BMeta FAIR
  • ESM2-650MMeta FAIR
  • ESMC 300Mbiohub
  • ESMC 300M (Dec 2024)biohub
  • ESMC 600Mbiohub
  • ESMC 600M (Dec 2024)biohub
  • ESMC 6Bbiohub
  • ESMFoldMeta AI (FAIR)
  • ESMFold2biohub
  • ESMFold2-Experimentalbiohub
  • ESMFold2-Experimental-Fastbiohub
  • ESMFold2-Fastbiohub
  • ether0futurehouse
  • eva-rnaScientaLab
  • Evo 2Arc Institute / Stanford
  • EVOLVEproHarvard / Broad Institute
  • FlashPPItattabio
  • FourCastNet 3nvidia
  • GalacticaMeta AI
  • GENA-LM BERT base (T2T)AIRI-Institute
  • GENA-LM BERT large (T2T)AIRI-Institute
  • GeneformerTheodoris et al., Gladstone Institutes
  • Genos 1.2BZhejiangLab
  • gLM2 650Mtattabio
  • GninaKoes Lab / University of Pittsburgh
  • GO-GPTwanglab
  • GROMACSGROMACS consortium
  • GROVERTsinghua University
  • HEST Tissue SegmentationMahmoodLab
  • HiRO-ACEallenai
  • HuatuoGPT-Vision 7BFreedomIntelligence
  • IgFoldRuffolo et al., Johns Hopkins
  • ImmuneBuilderOxford Protein Informatics Group
  • Indus SDE v0.2nasa-impact
  • IntelliFoldIntelliGen AI
  • Kimina-Prover Distill 1.7BAI-MO
  • Kimina-Prover Distill 8BAI-MO
  • Kimina-Prover Preview Distill 7BAI-MO
  • KRONOSMahmoodLab
  • La-RiboGENTEL Lab, Shanghai Jiao Tong University
  • LigandMPNNBaker Lab / UW IPD
  • LULA-1.1omtx
  • MACE-MP-0mace-foundations
  • MACE-MPA-0mace-foundations
  • MadeleineMahmoodLab
  • Make-A-Shape · multi-view 20MADSKAILab
  • Make-A-Shape · point-cloud 20MADSKAILab
  • Make-A-Shape · single-view 20MADSKAILab
  • Make-A-Shape · voxel 16³ADSKAILab
  • Make-A-Shape · voxel 32³ADSKAILab
  • MAMMALIBM Research
  • MAMMAL solubilityIBM Research
  • MarinDNA m5.1 1B base modelmarin-dna
  • MatterGenmicrosoft
  • MedASRgoogle
  • MedGemma 1.5 4Bgoogle
  • MedGemma 27Bgoogle
  • MedSAMwanglab
  • MedSigLIPgoogle
  • MegaMolBARTNVIDIA / BioNeMo
  • MIST 1.8B · ⟨R²⟩mist-models
  • MIST 1.8B · BACEmist-models
  • MIST 1.8B · BBBPmist-models
  • MIST 1.8B · ClinToxmist-models
  • MIST 1.8B · Cvmist-models
  • MIST 1.8B · ESOLmist-models
  • MIST 1.8B · FreeSolvmist-models
  • MIST 1.8B · G298mist-models
  • MIST 1.8B · H298mist-models
  • MIST 1.8B · HIVmist-models
  • MIST 1.8B · HOMOmist-models
  • MIST 1.8B · HOMO-LUMO gapmist-models
  • MIST 1.8B · Lipomist-models
  • MIST 1.8B · LUMOmist-models
  • MIST 1.8B · QM8mist-models
  • MIST 1.8B · SIDERmist-models
  • MIST 1.8B · Tox21mist-models
  • MIST 1.8B · U0mist-models
  • MIST 1.8B · U298mist-models
  • MIST 1.8B · ZPVEmist-models
  • MIST 1.8B · α (polarizability)mist-models
  • MIST 1.8B · μ (dipole)mist-models
  • MIST 1.8B basemist-models
  • MIST 26.9M · boiling pointmist-models
  • MIST 26.9M · dnmist-models
  • MIST 26.9M · flash pointmist-models
  • MIST 26.9M · melting pointmist-models
  • MIST 26.9M · odourmist-models
  • MIST 27.0M · conductivitymist-models
  • MIST 27.1M · ETNmist-models
  • MIST 28M · BACEmist-models
  • MIST 28M · BBBPmist-models
  • MIST 28M · ClinToxmist-models
  • MIST 28M · ESOLmist-models
  • MIST 28M · FreeSolvmist-models
  • MIST 28M · HIVmist-models
  • MIST 28M · Lipomist-models
  • MIST 28M · MUVmist-models
  • MIST 28M · pKamist-models
  • MIST 28M · QM8mist-models
  • MIST 28M · SIDERmist-models
  • MIST 28M · solvent propertiesmist-models
  • MIST 28M · tmQMmist-models
  • MIST 28M · Tox21mist-models
  • MIST 28M · ToxCastmist-models
  • MIST 28M basemist-models
  • MIST mixturesmist-models
  • ML4Floodsisp-uv-es
  • MM/GBSAAmber consortium
  • MMPT-FMMerck
  • ModernGENA baseAIRI-Institute
  • ModernGENA largeAIRI-Institute
  • Molecular Property CalculatorCorollary Labs
  • MolFormerIBM Research
  • MolMIMNVIDIA BioNeMo
  • MosaicAMLab-UvA
  • NASA-SMD-IBMnasa-impact
  • NatureLM-audioEarthSpeciesProject
  • Nessorecursionpharma
  • NexaMass V3 StructAethronPhantom
  • NTv3 650MInstaDeepAI
  • Nucleotide Transformer 2.5BInstaDeepAI
  • Nucleotide Transformer v2InstaDeep / Wellcome Sanger
  • OC25facebook
  • OlmoEarth v1 Baseallenai
  • OlmoEarth v1 FT — AWF (Base)allenai
  • OlmoEarth v1 FT — Ecosystem Type Mapping (Base)allenai
  • OlmoEarth v1 FT — Forest Loss Driver (Base)allenai
  • OlmoEarth v1 FT — LFMC (Base)allenai
  • OlmoEarth v1 FT — Mangrove (Base)allenai
  • OlmoEarth v1 Largeallenai
  • OlmoEarth v1 Nanoallenai
  • OlmoEarth v1 Tinyallenai
  • OlmoEarth v1.1 Baseallenai
  • OlmoEarth v1.1 Nanoallenai
  • OlmoEarth v1.1 Tinyallenai
  • OlmoEarth v1.2 Baseallenai
  • OlmoEarth v1.2 Nanoallenai
  • OlmoEarth v1.2 Smallallenai
  • OlmoEarth v1.2 Tinyallenai
  • OMat24facebook
  • OMC25facebook
  • OmegaFoldHeliXon
  • OMol25facebook
  • OneGenome-RiceZhejiangLab
  • OpenDDEaurekaresearch
  • OpenFE / LomapOpen Free Energy consortium
  • OpenFoldAlQuraishi Lab / Columbia
  • OpenFold3OpenFold
  • OpenMed AnatomyDetectOpenMed
  • OpenMed BloodCancerDetectOpenMed
  • OpenMed ChemicalDetectOpenMed
  • OpenMed DiseaseDetectOpenMed
  • OpenMed DNADetectOpenMed
  • OpenMed GenomeDetectOpenMed
  • OpenMed GenomicDetectOpenMed
  • OpenMed OncologyDetectOpenMed
  • OpenMed OrganismDetectOpenMed
  • OpenMed PathologyDetectOpenMed
  • OpenMed PharmaDetectOpenMed
  • OpenMed ProteinDetectOpenMed
  • OpenMed SpeciesDetectOpenMed
  • OpenMMChodera Lab / Stanford
  • OpenPhenomrecursionpharma
  • OrbMolOrbital-Materials
  • p-IgGenopig
  • PaperQA2 (Crow)FutureHouse
  • ParagraphDeane Lab / Oxford
  • Path Foundationgoogle
  • PDB Structure FetchRCSB Protein Data Bank
  • PeptiVerseChatterjeeLab
  • PhenoSeqSentinal4D
  • ProGen2Salesforce Research
  • Promerabjing-mit
  • ProteinMPNNBaker Lab
  • Protenix-RNALiteFold
  • PXR Activation Modelopenadmet
  • QAMASBeard Lab / Randall et al.
  • Reaction prediction and fingerprintsSagawa & Kaneko · IBM RXN
  • REINVENT 4AstraZeneca
  • RetroChimeraMicrosoft Research AI for Science
  • RFDiffusionBaker Lab / Institute for Protein Design
  • Rhaistertahoebio
  • RoseTTAFold All-AtomBaker Lab / UW
  • RudolfV 2Aignostics
  • SamudrACE-E3SMv3allenai
  • SapiensAstraZeneca / Prihoda et al.
  • SaProtSu et al., Westlake University
  • SCENIC+ / pySCENICVIB-KU Leuven
  • scGPTUniversity of Toronto
  • SE-600Marcinstitute
  • SEALMahmoodLab
  • Sequence AnalyticsCorollary Labs
  • ShEPhERD-2Coley Research Group, MIT
  • Skala 1.0microsoft
  • Skala 1.1microsoft
  • SMINAKoes Lab
  • STACK Largearcinstitute
  • Stack-Large Alignedarcinstitute
  • StarCOPisp-uv-es
  • StormCast V1nvidia
  • SuperIXisp-uv-es
  • Surya 1.0nasa-ibm-ai4science
  • Surya Solar Flaresnasa-ibm-ai4science
  • Surya Solar Windnasa-ibm-ai4science
  • Tahoe-100M-SCVItahoebio
  • Tahoe-x1tahoebio
  • TEDDYMerck
  • TimesFM 2.5Google Research
  • TITANMahmoodLab
  • TxGemma 27B Chatgoogle
  • TxGemma 27B Predictgoogle
  • TxGemma 2Bgoogle
  • TxGemma 9B Chatgoogle
  • TxGemma 9B Predictgoogle
  • UMAfacebook
  • UNIMahmoodLab
  • UNI2-hMahmoodLab
  • WaLa DM1 1BADSKAILab
  • WaLa DM4 1BADSKAILab
  • WaLa DM6 1BADSKAILab
  • WaLa MVDream DM6ADSKAILab
  • WaLa MVDream RGB4ADSKAILab
  • WaLa PC 1BADSKAILab
  • WaLa RGB4 1BADSKAILab
  • WaLa SK 1BADSKAILab
  • WaLa SV 1BADSKAILab
  • WaLa UN 1BADSKAILab
  • WaLa VX16 1BADSKAILab
  • WALRUSpolymathic-ai
  • X-CellXaira-Therapeutics
  • Zatom-2Berkeley Lab, Cambridge and collaborators
  • Zero-To-CAD Qwen3-VL 2BADSKAILab
Every dataset, A–Z254
  • ABC-1MADSKAILab
  • active_matterpolymathic-ai
  • aimo-validation-aimeAI-MO
  • aimo-validation-amcAI-MO
  • aimo-validation-math-level-4AI-MO
  • aimo-validation-math-level-5AI-MO
  • AirfRANS_originalPLAID-datasets
  • AlphaFoldDBLiteFold
  • aops_rawAI-MO
  • aqcat25-datasetSandboxAQ
  • arxiv-abstracts-largeUniverseTBD
  • AstroLLaVA_convosUniverseTBD
  • ATBAllTheBacteria
  • AtompackLeMaterial
  • atomvison_atomistic_stm_images_2d_materials_unique_chemical_compositions_structure_v1-1foundry-ml
  • atomvison_simulated_atomistic_stem_images_2d_materials_unique_chemical_compositions_structure_bafoundry-ml
  • B3DBmaomlab
  • Bac-Corpus-dna-intergenic-sequences-high-diversityAllTheBacteria
  • Bac-Corpus-protein-sequences-high-diversityAllTheBacteria
  • BEANS-ZeroEarthSpeciesProject
  • BFDLiteFold
  • BioMysteryBench-fullAnthropic
  • BioMysteryBench-previewAnthropic
  • bioreason-pro-sft-reasoning-datawanglab
  • BixBenchfuturehouse
  • Botanic1-pretrainingliving-models
  • camelyon16-featuresowkin
  • carbon-pretraining-corpusHuggingFaceBio
  • CATHLiteFold
  • CCAluminary-shift
  • ChAFFmaomlab
  • ChemBenchjablonkagroup
  • chempile-captionjablonkagroup
  • chempile-codejablonkagroup
  • chempile-educationjablonkagroup
  • chempile-instructionjablonkagroup
  • chempile-liftjablonkagroup
  • chempile-mliftjablonkagroup
  • chempile-paperjablonkagroup
  • chempile-reasoningjablonkagroup
  • clinvar-vepHuggingFaceBio
  • CloudSEN12Plusisp-uv-es
  • codeparrot_megatronADSKAILab
  • CombiBenchAI-MO
  • constellarationproxima-fusion
  • core-sdonasa-ibm-ai4science
  • crosslab-nmcGenData-Research
  • CryptoCENmaomlab
  • CT_DeepLesion-MedSAM2wanglab
  • CycPepMPDBLiteFold
  • dataset_concrete_compressive_strengthfoundry-ml
  • dataset_debyet_aflowfoundry-ml
  • dataset_exfoliationefoundry-ml
  • dataset_li_conductivityfoundry-ml
  • dataset_metallicglass_dmaxfoundry-ml
  • dataset_metallicglass_rcfoundry-ml
  • dataset_metallicglass_rc_llmfoundry-ml
  • dataset_mg_alloyfoundry-ml
  • dataset_perovskite_asrfoundry-ml
  • dataset_perovskite_conductivityfoundry-ml
  • dataset_perovskite_formationefoundry-ml
  • dataset_perovskite_habsfoundry-ml
  • dataset_perovskite_stability_updatedfoundry-ml
  • dataset_perovskite_tecfoundry-ml
  • dataset_rpv_ttsfoundry-ml
  • dataset_thermalcond_aflowfoundry-ml
  • dataset_thermalexp_aflowfoundry-ml
  • dielectric_constant_v1-1foundry-ml
  • diffusion_v1-4foundry-ml
  • DIPSDror Lab, Stanford
  • direct_electron_detectorceleritas_xs_simulated_readout_images_electron_counting_model_v1-1foundry-ml
  • DisProtLiteFold
  • double_perovskite_bandgap_v1-1foundry-ml
  • drivaermlneashton
  • drug-target-activityeve-bio
  • DynaCLR-databiohub
  • elastic_tensor_v1-1foundry-ml
  • electromigration_v1-1foundry-ml
  • elwood_md_v1-2foundry-ml
  • EmeraldBaytahoebio
  • EO-via-NLPnasa-impact
  • equational-theories-benchmarkSAIRfoundation
  • equational-theories-selected-problemsSAIRfoundation
  • ESMAtlasLiteFold
  • ESMC-SAE-Featuresbiohub
  • ether0-benchmarkfuturehouse
  • EvolutionaryLiteFold
  • excess-propertiesmist-models
  • finemed-frdoctolib-lab
  • finemed-rephrased-frdoctolib-lab
  • FireProtDBLiteFold
  • FLIP2LiteFold
  • foundry_aflow_band_gaps_v1-1foundry-ml
  • foundry_g4mp2_solvation_v1-2foundry-ml
  • foundry_mp_band_gaps_v1-1foundry-ml
  • foundry_oqmd_band_gaps_v1-1foundry-ml
  • foundry_osdb_v1-1foundry-ml
  • foundry_qmc_ml_v1-1foundry-ml
  • foundry_stan_segmentation_v1-1foundry-ml
  • frontierscienceopenai
  • GDPa1ginkgo-datapoints
  • GDPx1ginkgo-datapoints
  • GDPx2ginkgo-datapoints
  • GDPx3ginkgo-datapoints
  • GDPx4ginkgo-datapoints
  • genomic-niahHuggingFaceBio
  • GeometryLeanBenchAI-MO
  • GOLiteFold
  • GOALiteFold
  • healthbenchopenai
  • healthbench-professionalopenai
  • her2-challenge-2026owkin
  • hestMahmoodLab
  • hest-benchMahmoodLab
  • heusler_magnetization_v1-1foundry-ml
  • HumanProteinAtlasLiteFold
  • IEDBLiteFold
  • img_virus_plasmidwanglab
  • InterProLiteFold
  • keggwanglab
  • Kimina-Prover-PromptsetAI-MO
  • lab-benchfuturehouse
  • LeMat-BulkLeMaterial
  • LeMat-Bulk-DFT-HullLeMaterial
  • LeMat-Bulk-DFT-Hull-AllLeMaterial
  • LeMat-Bulk-MLIP-Formation-EnergiesLeMaterial
  • LeMat-Bulk-MLIP-HullLeMaterial
  • LeMat-BulkUniqueLeMaterial
  • LeMat-GenBench-embeddingsLeMaterial
  • LeMat-RhoLeMaterial
  • LeMat-SynthLeMaterial
  • LeMat-Synth-PapersLeMaterial
  • LeMat-TrajLeMaterial
  • LeMat-Traj-subsetLeMaterial
  • LLM-narrative-planning-tasksetADSKAILab
  • MaCBenchjablonkagroup
  • mask_rcnn_defect_detection_v1-1foundry-ml
  • MedDialogOpenMed
  • medical-o1-reasoning-SFTFreedomIntelligence
  • medical-o1-verifiable-problemFreedomIntelligence
  • Medical-Reasoning-SFT-MegaOpenMed
  • MedSynthAhmad0067
  • MegaScale-Tsuboyama2023LiteFold
  • MetaMathQAmeta-math
  • MgnifyLiteFold
  • MHD_64polymathic-ai
  • minif2f_testAI-MO
  • miriad-4.4Mmiriad
  • miriad-5.8Mmiriad
  • MISATOHelmholtz Munich
  • MofasaDBOrbital-Materials
  • Molecule3Dmaomlab
  • MOSESInsilico Medicine
  • msr-acc-tae25microsoft
  • multi_species_genomesInstaDeepAI
  • NCBILiteFold
  • nct-crc-heowkin
  • NTv3_benchmark_datasetInstaDeepAI
  • nucleotide_transformer_downstream_tasksInstaDeepAI
  • NuminaMath-1.5AI-MO
  • NuminaMath-CoTAI-MO
  • NuminaMath-LEANAI-MO
  • NuminaMath-TIRAI-MO
  • OASopig
  • Octant_CYP_inhibition_reactivity_blog_releaseopenadmet
  • OGtattabio
  • olmoearth-paper-embeddingsallenai
  • olympiadsAI-MO
  • olympiads-refAI-MO
  • olympiads-ref-baseAI-MO
  • OMGtattabio
  • openadmet-expansionrx-challenge-dataopenadmet
  • openadmet-expansionrx-challenge-train-dataopenadmet
  • opengenome2arcinstitute
  • OpenProteinSetLiteFold
  • opensr-testisp-uv-es
  • OpenTMEAignostics
  • PapyrusLeiden Academic Centre for Drug Research
  • parse-de-rhaistertahoebio
  • Patho-BenchMahmoodLab
  • PATHOS-PLM-EMBEDDINGSDSIMB
  • PDBLiteFold
  • PDB-CCDLiteFold
  • perovskite_opbandcenter_v1-1foundry-ml
  • perovskite_stability_v1-1foundry-ml
  • Perturb-Sapiensarcinstitute
  • perturbation-benchHuggingFaceBio
  • peS2oallenai
  • PfamLiteFold
  • piezoelectric_tensor_v1-1foundry-ml
  • planetswepolymathic-ai
  • plant-genomic-benchmarkInstaDeepAI
  • plism-dataset-tilesowkin
  • popsiclebiohub
  • principia-benchfacebook
  • principia-collectionfacebook
  • ProteinGLUEIBIVU, VU Amsterdam
  • ProteinGymLiteFold
  • ProteinNetAlQuraishi Lab
  • protenix-dataLiteFold
  • Pumpluminary-shift
  • rayleigh_benardpolymathic-ai
  • replogle-nadig-de-rhaistertahoebio
  • Replogle-Nadig-Preprintarcinstitute
  • rtm_emulationisp-uv-es
  • rxrx3recursionpharma
  • rxrx3-corerecursionpharma
  • SAIRSandboxAQ
  • SARLO-80ONERA
  • SE-167M-Humanarcinstitute
  • semiconductor_defectlevels_v1-1foundry-ml
  • SHIFT-Crashluminary-shift
  • SidechainNetKoes Lab, University of Pittsburgh
  • SKEMPI2LiteFold
  • spiqagoogle
  • SPIREAllTheBacteria
  • Stack-CellxGene45Marcinstitute
  • State-Tahoe-Filteredarcinstitute
  • steel_strength_v1-1foundry-ml
  • STRINGLiteFold
  • Submarineluminary-shift
  • superconductivity_v1-1foundry-ml
  • supernova_explosion_64polymathic-ai
  • surya-bench-flare-forecastingnasa-ibm-ai4science
  • SUVluminary-shift
  • SwissSidechainLiteFold
  • synthvision-annotated-kimiOpenMed
  • synthvision-annotated-qwenOpenMed
  • synthvision-seedsOpenMed
  • Tahoe-100Mtahoebio
  • tahoe-de-rhaistertahoebio
  • Tahoe-x1-embeddingstahoebio
  • TCGA_virtual_spatial_transcriptomics_atlasratschlab
  • TCGA-UniformTumor-8KMahmoodLab
  • TDCmaomlab
  • ThousandWorldsAstroAutomata
  • training_locating_atoms_stem_images_v1-2foundry-ml
  • traitgymHuggingFaceBio
  • TreeOfLife-200Mimageomics
  • true-cds-protein-tasksInstaDeepAI
  • UNI2-h-featuresMahmoodLab
  • UniProtKBLiteFold
  • UniRef50LiteFold
  • UniRef90LiteFold
  • viperMahmoodLab
  • WINGluminary-shift
  • winnow-ms-datasetsInstaDeepAI
  • wolverton_oxides_v1-1foundry-ml
  • WorldFloodsv2isp-uv-es
  • WxC-Benchnasa-impact
  • X-Atlas-OrionXaira-Therapeutics
  • X-Atlas-PiscesXaira-Therapeutics
  • Zero-To-CAD-100kADSKAILab
  • Zero-To-CAD-1mADSKAILab

Things that work

Filtering

298 entries in Biology

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17
InstantModel

AlphaFold DB Lookup

DeepMind / EMBL-EBI

Fetch a pre-computed structure for any UniProt accession — 247M entries, instantly.

structure retrieval
InstantModel

ESMFold

Meta AI (FAIR)

Single-sequence folding in seconds — no MSA, no waiting.

structure prediction
InstantModel

PDB Structure Fetch

RCSB Protein Data Bank

Experimentally determined coordinates and metadata for any PDB entry.

structure retrieval
InstantModel

Sequence Analytics

Corollary Labs

Composition, molecular weight, isoelectric point and hydropathy — deterministic.

annotation
ReadyModel

AlphaFold2

DeepMind (served as BioNeMo NIM)

The reference MSA-based predictor, with managed MSA search included.

structure prediction
ReadyModel

BioMedGPT-R1

PharMolix / OpenBioMed

Reasoning-capable biomedical LLM with chain-of-thought over molecules.

chat
ReadyModel

Boltz-2

MIT × Recursion

Structure and binding affinity in one pass, approaching FEP accuracy 1000× faster.

structure prediction
ReadyModel

DiffDock

MIT / Barzilay Lab

Diffusion docking: 38% top-1 success versus 23% for classical AutoDock.

molecular docking
ReadyModel

DNABERT-2

Zhou et al., Northwestern

BPE-tokenised genomic BERT for motif, splice site and regulatory classification.

motif discovery
ReadyModel

ESM2-3B

Meta FAIR

High-quality 1,280-dimensional protein embeddings for everything downstream.

sequence embedding
ReadyModel

ESM2-650M

Meta FAIR

The throughput workhorse of the ESM2 family — good embeddings, tiny footprint.

sequence embedding
ReadyModel

Evo 2

Arc Institute / Stanford

Genome-scale foundation model spanning nucleotide to whole-genome context.

sequence generation
ReadyModel

Galactica

Meta AI

Scientific LLM retained as a domain-knowledge evaluation baseline only.

evaluation baseline
ReadyModel

Nucleotide Transformer v2

InstaDeep / Wellcome Sanger

DNA foundation model for regulatory elements, promoters and variant scoring.

regulatory prediction
ReadyModel

ProGen2

Salesforce Research

Autoregressive protein generation up to 6.4B parameters, with an antibody variant.

sequence generation
ReadyModel

ProteinMPNN

Baker Lab

Inverse folding: given a backbone, design sequences that actually fold onto it.

inverse folding
ReadyModel

RFDiffusion

Baker Lab / Institute for Protein Design

De novo backbone generation by denoising diffusion — the binder-design workhorse.

backbone generation

Everything else indexed

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AbLang2Oxford Protein Informatics GroupAntibody-specific language model trained on the Observed Antibody Space.sequence embeddingOn demand
AIFS Single 1.0ecmwfFirst 1.0 release of the deterministic AIFS — graph-based global weather forecasting model from ECMWF on the Anemoi framework.forecastingOn demand
ANARCIOxford Protein Informatics GroupAntibody numbering and region annotation — Chothia, IMGT, Kabat.annotationOn demand
AntiFoldHummer et al., DTUInverse folding specialised for antibody backbones and CDR loops.inverse foldingOn demand
AutoDock VinaScripps ResearchThe docking engine every other docking paper compares itself against.molecular dockingOn demand
BioCLIP 2imageomicsOpenCLIP-based foundation model for organismal biology — zero-shot species classification from photographs across the tree of life, trained on TreeOfLife-200M.zero-shot-image-classificationOn demand
Carbon-AHugging Face, from GENERanno (Gener Team)Find the protein-coding genes in a eukaryotic genome: exons, strand, reading frame and a confidence per gene.annotationOn demand
Carbon-XHugging Face, Zhongguancun Academy and TIGEMAsk a question about DNA in plain English, or rank variants by how typical the model finds them.variant effectOn demand
Chai-1Chai DiscoveryOpen multimodal complex prediction across proteins, nucleic acids and ligands.complex predictionOn demand
DoctoBERT-fr-basedoctolib-labFrench medical encoder (RoBERTa, 111M params, 512-token context) pretrained from scratch on FineMed-fr — state-of-the-art on DrBenchmark, leading five of seven tasks across French and English medical encoder families.fill-maskOn demand
DoctoModernBERT-fr-basedoctolib-labFrench medical encoder (ModernBERT, 149M params, up to 8,192-token context) pretrained from scratch on FineMed-fr — best on real-world clinical NER and top-ranked on DrBenchmark.fill-maskOn demand
EnformerDeepMindSequence-to-expression across a 200kb window covering distal enhancers.expression predictionOn demand
ESM-IF1Meta FAIRLanguage-model-informed inverse folding — an alternative view to ProteinMPNN.inverse foldingOn demand
ESMC 300Mbiohub300M-parameter ESMC protein language model — compact variant of the ESMC family for protein-embedding workflows, fits on a single consumer GPU.sequence embeddingOn demand
ESMC 600Mbiohub600M-parameter ESMC protein language model — provides digital representations of proteins for therapeutic engineering, variant-effect prediction, and transfer learning across protein tasks.sequence embeddingOn demand
ESMC 6BbiohubFlagship 6B-parameter ESMC protein language model — state-of-the-art protein embeddings for variant-effect prediction, protein engineering, and biology research, trained on billions of protein sequences.sequence embeddingOn demand
ESMFold2biohubState-of-the-art protein structure prediction and design model — defines a new frontier for speed and accuracy, with unprecedented success rates for protein binder and antibody generation.structure predictionOn demand
ESMFold2-ExperimentalbiohubExperimental ESMFold2 variant exploring new training recipes and architectural changes for protein structure prediction, design, and confidence estimation.structure predictionOn demand
ESMFold2-Experimental-FastbiohubFast variant of the experimental ESMFold2 line — combines accelerated inference with the research-recipe improvements of the experimental branch.structure predictionOn demand
ESMFold2-FastbiohubAccelerated variant of ESMFold2 — optimised for high-throughput structure prediction across large protein sets while retaining strong accuracy.structure predictionOn demand
FlashPPItattabioFast protein-protein interaction prediction model — trained for high-throughput screening of interaction networks.feature-extractionOn demand
GENA-LM BERT base (T2T)AIRI-InstituteBERT-base-style genomic foundation model trained on T2T assemblies — lighter-weight backbone for genomic sequence understanding.fill-maskOn demand
GENA-LM BERT large (T2T)AIRI-InstituteBERT-large-style genomic foundation model trained on telomere-to-telomere human assemblies — supports variant interpretation, regulatory prediction, and downstream genomic tasks.fill-maskOn demand
gLM2 650Mtattabio650M-parameter genomic foundation model from Tatta Bio — trained on the OMG open-mixed-genomes corpus for sequence-level biological reasoning.fill-maskOn demand
ImmuneBuilderOxford Protein Informatics GroupSub-second structure prediction for antibodies, nanobodies and TCRs.structure predictionOn demand
Indus SDE v0.2nasa-impactScience domain extraction model for identifying and classifying scientific concepts, variables, and entities from geoscience and atmospheric science text.fill-maskOn demand
La-RiboGENTEL Lab, Shanghai Jiao Tong UniversityGenerate an RNA sequence and its 3D structure together, from a length — unconditional, so no target fold or function.sequence generationOn demand
MAMMALIBM ResearchTask-specific predictions for binding affinity, blood–brain barrier permeability, and protein solubility.multi taskOn demand
MAMMAL solubilityIBM ResearchBinary protein-solubility classification from amino-acid sequence.protein solubilityOn demand
MIST 1.8B · ⟨R²⟩mist-modelsMIST 1.8B fine-tuned for electronic spatial extent from QM9.feature-extractionOn demand
MIST 1.8B · BACEmist-modelsMIST 1.8B fine-tuned on BACE — Alzheimer-target inhibition classification.feature-extractionOn demand

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