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(ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling
Typer, build great CLIs. Easy to code. Based on Python type hints.
Python composable command line interface toolkit
Accelerated, Python-only, single-cell integration benchmarking metrics
scMODAL: A general deep learning framework for single-cell Multi-Omics Data Alignment with feature Links
Implementation of AlphaGenome, Deepmind's updated genomic attention model
Probabilistic cell segmentation for in situ spatial transcriptomics
Templates that are directly maintained by the Typst team.
An easy to use library for pretty print tables of Rust structs and enums.
Apache Iggy: Hyper-Efficient Message Streaming at Laser Speed
Modern embedded framework, using Rust and async.
UMAP (Uniform Manifold Approximation and Projection) in Rust
A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
Containerization is a Swift package for running Linux containers on macOS.
An Approximate Nearest Neighbors library in Rust, based on random projections and LMDB and optimized for memory usage 💥
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
A Git-compatible VCS that is both simple and powerful
A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally.