quacc is a flexible platform for computational materials science and quantum chemistry that is built for the big data era.
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Updated
May 9, 2024 - Python
quacc is a flexible platform for computational materials science and quantum chemistry that is built for the big data era.
FlashChain:一个基于golang编写的联盟链demo,经过实验测试,该链吞吐量可达25000+。
atomate2 is a library of computational materials science workflows
Post-processing toolkit for electronic structure calculations
Tools for simplifying daily work with the AiiDA workflow engine
A Framework for IMS-MS Raw Data Processing written in Rust and Python.
An Intuitive, Lightweight, High Performance Full Stack Java Web Framework.
Running large language models on a single GPU for throughput-oriented scenarios.
Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
[NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.
AiiDA plugin of the high-performance density functional theory code FLEUR (www.judft.de) for high-throughput electronic structure calculations.
Multiplexed data-independent acquisition (plexDIA) for increasing proteomics throughput. The code is distributed by an MIT license.
An interactive Python program that identifies the shortest atomic bonding pairs in CIF files, generating histograms and pair counts for crystal structure analysis.
The High-Throughput Toolkit (httk) is a toolkit for preparing and running calculations, analyzing the results, and storing the results and outcome in a global and/or in a personalized database.
extremly light uart library for AVR 8 bit microcontrollers
A thread-safe queue faster and more resource efficient than golang's native channels
A user-friendly command-line interface for the ZARP RNA-seq analysis workflow
The Zavolab Automated RNA-seq Pipeline
Implementation of cheap Monte Carlo optimisation of bonds in molecules
Low-cost host-guest conformer generation
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