Tootfinder

Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks
Nico Meyer, Christian Ufrecht, Maniraman Periyasamy, Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Andreas Maier
https://arxiv.org/abs/2404.06314

Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks
Quantum computer simulation software is an integral tool for the research efforts in the quantum computing community. An important aspect is the efficiency of respective frameworks, especially for training variational quantum algorithms. Focusing on the widely used Qiskit software environment, we develop the qiskit-torch-module. It improves runtime performance by two orders of magnitude over comparable libraries, while facilitating low-overhead integration with existing codebases. Moreover, the…

Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks
Nico Meyer, Christian Ufrecht, Maniraman Periyasamy, Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Andreas Maier
https://arxiv.org/abs/2404.06314

Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks
Quantum computer simulation software is an integral tool for the research efforts in the quantum computing community. An important aspect is the efficiency of respective frameworks, especially for training variational quantum algorithms. Focusing on the widely used Qiskit software environment, we develop the qiskit-torch-module. It improves runtime performance by two orders of magnitude over comparable libraries, while facilitating low-overhead integration with existing codebases. Moreover, the…

Build a CLI tool in Rust with Clap 🦀
A great beginner project to get comfortable building CLI applications!
https://www.shuttle.rs/blog/2023/12/08/clap-rust

Writing a CLI Tool in Rust with Clap
Learn about how you can write a CLI tool with Clap by following this article. We also cover libraries that go well with Clap and example repositories.

I recently released Chisel, a tool for removing unwanted dependencies from your #dotnet projects. It’s typically useful to remove the AWS SDK from the MongoDB driver or the Azure SDK from the SQL Server driver (Microsoft.Data.SqlClient). Why do database drivers insist on taking dependencies on cloud libraries? 🤷‍♀️
Learn more at

GitHub - 0xced/Chisel: Remove unwanted dependencies from your dotnet projects
Remove unwanted dependencies from your dotnet projects - 0xced/Chisel

TorchSurv: A Lightweight Package for Deep Survival Analysis
M\'elodie Monod, Peter Krusche, Qian Cao, Berkman Sahiner, Nicholas Petrick, David Ohlssen, Thibaud Coroller
https://arxiv.org/abs/2404.10761

TorchSurv: A Lightweight Package for Deep Survival Analysis
TorchSurv is a Python package that serves as a companion tool to perform deep survival modeling within the PyTorch environment. Unlike existing libraries that impose specific parametric forms, TorchSurv enables the use of custom PyTorch-based deep survival models. With its lightweight design, minimal input requirements, full PyTorch backend, and freedom from restrictive survival model parameterizations, TorchSurv facilitates efficient deep survival model implementation and is particularly benef…

JaxDecompiler: Redefining Gradient-Informed Software Design
Pierrick Pochelu
https://arxiv.org/abs/2403.10571 https://arxiv.org/pdf/2…

JaxDecompiler: Redefining Gradient-Informed Software Design
Among numerical libraries capable of computing gradient descent optimization, JAX stands out by offering more features, accelerated by an intermediate representation known as Jaxpr language. However, editing the Jaxpr code is not directly possible. This article introduces JaxDecompiler, a tool that transforms any JAX function into an editable Python code, especially useful for editing the JAX function generated by the gradient function. JaxDecompiler simplifies the processes of reverse engineer…

This https://arxiv.org/abs/2310.13769 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Compositional Deep Probabilistic Models of DNA Encoded Libraries
DNA-Encoded Library (DEL) has proven to be a powerful tool that utilizes combinatorially constructed small molecules to facilitate highly-efficient screening assays. These selection experiments, involving multiple stages of washing, elution, and identification of potent binders via unique DNA barcodes, often generate complex data. This complexity can potentially mask the underlying signals, necessitating the application of computational tools such as machine learning to uncover valuable insight…

FrackyFrac: A Standalone UniFrac Calculator
Amit Lavon, Smadar Shilo, Ayya Keshet, Eran Segal
https://arxiv.org/abs/2404.11087 https://

FrackyFrac: A Standalone UniFrac Calculator
UniFrac is a family of distance metrics over microbial abundances, that take taxonomic relatedness into account. Current tools and libraries for calculating UniFrac have specific requirements regarding the user's technical expertise, operating system, and pre-installed software, which might exclude potential users. FrackyFrac is a native command-line tool that can run on any platform and has no requirements. It can also generate the phylogenetic trees required for the calculation. We show that …

This https://arxiv.org/abs/2310.06881 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

CAFA-evaluator: A Python Tool for Benchmarking Ontological Classification Methods
We present CAFA-evaluator, a powerful Python program designed to evaluate the performance of prediction methods on targets with hierarchical concept dependencies. It generalizes multi-label evaluation to modern ontologies where the prediction targets are drawn from a directed acyclic graph and achieves high efficiency by leveraging matrix computation and topological sorting. The program requirements include a small number of standard Python libraries, making CAFA-evaluator easy to maintain. The…