dna_parser
spacepile
dna_parser | spacepile | |
---|---|---|
1 | 1 | |
1 | 13 | |
- | - | |
7.1 | 4.9 | |
11 months ago | about 1 year ago | |
Rust | Rust | |
MIT License | MIT License |
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dna_parser
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dna_parser : A Python package written in Rust to encode DNA sequences for machine learning.
I started to work on a Python library written in Rust to encode DNA sequences (stored in the FASTA format) for machine learning applications. I recently released a first version even if the project is in a very early stage and things will be changed/upgraded/improved. dna_parser 0.1 can be easily installed with pip: pip install dna-parser
spacepile
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dna_parser : A Python package written in Rust to encode DNA sequences for machine learning.
I know very little about machine learning encoding but saw a somewhat similar project here https://github.com/brentp/spacepile
What are some alternatives?
tangram - Tangram is an all-in-one automated machine learning framework. [Moved to: https://github.com/tangramdotdev/tangram]
tch-rs - Rust bindings for the C++ api of PyTorch.
tangram - Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.
krust - counts k-mers, written in rust
bytewax - Python Stream Processing
lance - Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
Nuclia DB - NucliaDB, The AI Search database for RAG
burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. [Moved to: https://github.com/Tracel-AI/burn]
base2048 - Binary encoding with base-2048 in Python with Rust