GPU-optimized AI, Machine Learning, & HPC Software

SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.

Displaying 11 results

NVIDIA

Dsci Atac-seq Low Cell Count 1M Reads

Model trained on single cell atac-seq data using dsci-ATAC protocol using AtacWorks tool

Model

NVIDIA

Dsci Atac-seq Low Cell Count 0.2M Reads

Model trained on single cell atac-seq data using dsci-ATAC protocol

Model

NVIDIA

Dsc Atac-seq Low Cell Count 0.2M Reads

Model trained on single cell atac-seq data using dsc-ATAC protocol

Model

NVIDIA

Dsc Atac-seq Low Cell Count 1M Reads

Model trained on single cell atac-seq data using dsc-ATAC protocol

Model

NVIDIA

AtacWorks

Deep learning toolkit for coverage track denoising and peak calling from low-coverage or low-quality ATAC-Seq data

Resource

NVIDIA

Bulk Atac-seq Low Coverage 1M Reads

Model trained on bulk atac-seq data.

Model

NVIDIA

Bulk Atac-seq Low Coverage 20M Reads

De-noise 20 million read depth Atac-seq signal to resemble 50 million read depth Atac-seq signal.

Model

NVIDIA

Bulk Atac-seq Low Coverage 10M Reads

Model trained on bulk atac-seq data.

Model

NVIDIA

Bulk Atac-seq Low Coverage 5M Reads

Model trained on bulk atac-seq data.

Model

NVIDIA

Bulk Atac-seq Low Quality 20M Reads

Model trained on low quality bulk atac-seq data.

Model

NVIDIA

Bulk Atac-seq Low Coverage 0.2M Reads

Model trained on bulk atac-seq data.

Model

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