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Displaying 47 results

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
ProteinMPNN
ipd
Predicts amino acid sequences from 3D structure of proteins.
Container
RFdiffusion
ipd
Generates new protein structures (binder designs, motif scaffoldings, etc.)
Container
BioNeMo Framework
NVIDIA
BioNeMo Framework for running training and inference on large scale bio-based models.
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
Endoscopy Sample App Data
NVIDIA
Holoscan Sample App Data for AI-based Endoscopy Tool Tracking
Resource
MONAI Toolkit
NVIDIA
MONAI Toolkit is a one-stop, development sandbox environment for researchers, data scientists, developers, and clinical teams.
Container
Multi-AI Sample App Data
NVIDIA
Holoscan Sample App Data for Multi-AI Ultrasound Pipeline
Resource
Colonoscopy Sample App Data
NVIDIA
Holoscan Sample App Data for AI Colonoscopy Segmentation of Polyps
Resource
Holoscan RacerX Video
NVIDIA
Short clip from the NVIDIA RacerX demo video to be used for examples and testing of Holoscan SDK
Resource
Endoscopy out of body Sample App Data
—
Holoscan Sample App data for Endoscopy out of body detection
Resource
Cheminformatics Demo
NVIDIA
Real-time interactive search of chemical space is useful in the pursuit of novel chemical entities. This application demonstrates searching, screening, and organizing a large chemical database of compounds.
Container
ESM-1nv
—
A NeMo Megatron BERT based model trained on protein sequences.
Model
MELD
Justin MacCallum, Alberto Perez, and Ken Dill
MELD is a tool for inferring the structure of biomolecules from sparse, ambiguous, or noisy data. MELD combines semi-reliable data with atomistic physical models using Bayesian inference.
Container
Orsi Academy Sample Applications
NVIDIA
Sample models, segmentations and videos from ORSI Academy to be used with Holoscan SDK
Resource
MegaMolBART gPRC Service v0.1
NVIDIA
A gRPC service to generate SMILES using MegaMolBART model.
Container
Medical Hyperspectral Segmentation Sample App Data
NVIDIA
Data and model for the medical hyperspectral segmentation sample app.
Resource
MegaMolBART
NVIDIA
A BART transformer language model trained on molecular SMILES strings
Model
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
Nvidia Parabricks MambaSV
NVIDIA
MambaSV is a somatic and germline structural variant (SV) caller for long-read sequencing using bidirectional Mamba2 state-space models.
Container
1-24 of 47 items

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