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Displaying 45 results
NVIDIA Developer Program
Google
Google
AlphaFold2
A widely used model for predicting the 3D structures of proteins from their amino acid sequences.
Container
NVIDIA Developer Program
NVIDIA
NVIDIA
MolMIM
MolMIM is a transformer-based model developed by NVIDIA for controlled small molecule generation.
Container
NVIDIA Developer Program
ipd
ProteinMPNN
Predicts amino acid sequences from 3D structure of proteins.
Container
NVIDIA Developer Program
ipd
RFdiffusion
Generates new protein structures (binder designs, motif scaffoldings, etc.)
Container
NVIDIA
NVIDIA
BioNeMo Framework
BioNeMo Framework for running training and inference on large scale bio-based models.
Container
NVIDIA Developer Program
Google
Google
AlphaFold2-Multimer
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
NVIDIA
NVIDIA
Endoscopy Sample App Data
Holoscan Sample App Data for AI-based Endoscopy Tool Tracking
Resource
NVIDIA
NVIDIA
Multi-AI Sample App Data
Holoscan Sample App Data for Multi-AI Ultrasound Pipeline
Resource
NVIDIA
NVIDIA
MONAI Toolkit
MONAI Toolkit is a one-stop, development sandbox environment for researchers, data scientists, developers, and clinical teams.
Container
NVIDIA
NVIDIA
Holoscan RacerX Video
Short clip from the NVIDIA RacerX demo video to be used for examples and testing of Holoscan SDK
Resource
NVIDIA
NVIDIA
Colonoscopy Sample App Data
Holoscan Sample App Data for AI Colonoscopy Segmentation of Polyps
Resource
—
Endoscopy out of body Sample App Data
Holoscan Sample App data for Endoscopy out of body detection
Resource
—
ESM-1nv
A NeMo Megatron BERT based model trained on protein sequences.
Model
NVIDIA
NVIDIA
Cheminformatics Demo
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
NVIDIA
NVIDIA
Orsi Academy Sample Applications
Sample models, segmentations and videos from ORSI Academy to be used with Holoscan SDK
Resource
NVIDIA
NVIDIA
Medical Hyperspectral Segmentation Sample App Data
Data and model for the medical hyperspectral segmentation sample app.
Resource
Justin MacCallum, Alberto Perez, and Ken Dill
MELD
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
NVIDIA
NVIDIA
MegaMolBART
A BART transformer language model trained on molecular SMILES strings
Model
NVIDIA
NVIDIA
MegaMolBART gPRC Service v0.1
A gRPC service to generate SMILES using MegaMolBART model.
Container
NVIDIA
NVIDIA
ESM-2nv 3B
A 3 Billion parameter BERT based model that has model weights converted from Huggingface into NeMo Framework.
Model
NVIDIA
NVIDIA
ESM-2nv 650M
A 650 million parameter BERT model that has model weights converted from Huggingface into NeMo Framework.
Model
NVIDIA
NVIDIA
ProtT5nv
A T5 model developed using the BioNeMo framework starting from a model pre-trained on NLP data from NeMo Framework.
Model
NVIDIA
NVIDIA
EquiDock DB5
EquiDock is an SE(3)-equivariant model that can predict protein-protein complex formation from two invidual proteins.
Model
NVIDIA
NVIDIA
EquiDock DIPS Model
EquiDock is an SE(3)-equivariant model that can predict protein-protein complex formation from two invidual proteins.
Model