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  • Displaying 60 results
    NVIDIA NIM for GenMol
    Nvidia
    GenMol is a masked diffusion model trained on molecular SAFE representations for fragment-based molecule generation, which can serve as a generalist model for various drug discovery tasks.
    Container
    NVIDIA HPC SDK
    NVIDIA
    The NVIDIA HPC SDK is a comprehensive suite of compilers, libraries and tools essential to maximizing developer productivity and the performance and portability of HPC applications.
    Container
    DiffDock
    MIT
    Diffdock predicts the 3D structure of the interaction between a molecule and a protein.
    Container
    AlphaFold2
    Google
    A widely used model for predicting the 3D structures of proteins from their amino acid sequences.
    Container
    MolMIM
    NVIDIA
    MolMIM is a transformer-based model developed by NVIDIA for controlled small molecule generation.
    Container
    NVIDIA Parabricks
    NVIDIA
    NVIDIA Parabricks is an accelerated compute framework that supports applications across the genomics industry, primarily supporting analytical workflows for DNA, RNA, and somatic mutation detection applications.
    Container
    RFdiffusion
    ipd
    Generates new protein structures (binder designs, motif scaffoldings, etc.)
    Container
    msa-search
    ColabFold
    The Multiple Sequence Alignment (MSA) Search NIM enables protein structure prediction models by providing fast, accurate sequence alignments of a query amino acid sequence against large databases of known proteins.
    Container
    BioNeMo Framework
    NVIDIA
    BioNeMo Framework for running training and inference on large scale bio-based models.
    Container
    Evo 2 40B
    arc
    Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences.
    Container
    Evo 2
    arc
    Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences.
    Container
    AlphaFold2-Multimer
    Google
    A widely used model for predicting the 3D structures of proteins from their amino acid sequences. This version of the container supports multimers, i.e. proteins made up of 2 or more polypeptide chains.
    Container
    ESM-1nv
    —
    A NeMo Megatron BERT based model trained on protein sequences.
    Model
    NAMD
    UIUC
    NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems.
    Container
    ALCHEMI Batched Molecular Dynamics
    NVIDIA
    Atomistic Molecular Dynamics NIM with machine learning interatomic potentials.
    Container
    ALCHEMI Batched Geometry Relaxation NIM
    NVIDIA
    Atomistic Geometry Optimization/Relaxation NIM with machine learning interatomic potentials.
    Container
    ESM-2nv 3B
    NVIDIA
    A 3 Billion parameter BERT based model that has model weights converted from Huggingface into NeMo Framework.
    Model
    ESM-2nv 650M
    NVIDIA
    A 650 million parameter BERT model that has model weights converted from Huggingface into NeMo Framework.
    Model
    ProtT5nv
    NVIDIA
    A T5 model developed using the BioNeMo framework starting from a model pre-trained on NLP data from NeMo Framework.
    Model
    EquiDock DB5
    NVIDIA
    EquiDock is an SE(3)-equivariant model that can predict protein-protein complex formation from two invidual proteins.
    Model
    EquiDock DIPS Model
    NVIDIA
    EquiDock is an SE(3)-equivariant model that can predict protein-protein complex formation from two invidual proteins.
    Model
    OpenFold
    NVIDIA
    OpenFold predicts protein structures from protein sequence inputs and optional multiple sequence alignments (MSAs) and template(s).
    Model
    DNABERT
    NVIDIA
    DNABERT generates a dense representation of a genome sequence by identifying contextually similar sequences in the human genome.
    Model
    GenMol
    NVIDIA BioNeMo
    GenMol Model V2 Weights
    Resource

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