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A Python framework for high performance GPU simulation and graphics
An extremely fast Python package and project manager, written in Rust.
HERRO is a highly-accurate, haplotype-aware, deep-learning tool for error correction of Nanopore R10.4.1 or R9.4.1 reads (read length of >= 10 kbps is recommended).
Distribute and run LLMs with a single file.
Pod5: a high performance file format for nanopore reads.
Blitzing Fast CTC Beam Search Decoder
Simple task/command runner with declarative goals and dependencies
A PyTorch Basecaller for Oxford Nanopore Reads
Implementation of Fast Transformer in Pytorch
Benchmarking bonito basecaller using E. coli assemblies
Tensors and Dynamic neural networks in Python with strong GPU acceleration