Running large language models on a single GPU for throughput-oriented scenarios.
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Updated
Apr 19, 2024 - Python
Running large language models on a single GPU for throughput-oriented scenarios.
Time series monitoring and alerting platform.
Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
atomate2 is a library of computational materials science workflows
quacc is a flexible platform for computational materials science and quantum chemistry that is built for the big data era.
extremly light uart library for AVR 8 bit microcontrollers
[NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.
A thread-safe queue faster and more resource efficient than golang's native channels
Full automation of relative protein-ligand binding free energy calculations in GROMACS
Window-Based Hybrid CPU/GPU Stream Processing Engine
A userspace workflow management tool for harnessing non-dedicated resources for high-throughput workloads.
An Intuitive, Lightweight, High Performance Full Stack Java Web Framework.
A reactive driver for Aeron transport (https://github.com/real-logic/aeron)
AiiDA plugin of the high-performance density functional theory code JuKKR (www.judft.de) for high-throughput electronic structure calculations.
Post-processing toolkit for electronic structure calculations
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.
High-throughput molecular docking with multiple targets and ligands using Vina series engines
AiiDA plugin of the high-performance density functional theory code FLEUR (www.judft.de) for high-throughput electronic structure calculations.
A Simple Way of Creating Job Workflows in Go running in Processes, Containers, Tasks, Pods, or Jobs
Tools for simplifying daily work with the AiiDA workflow engine
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