Running large language models on a single GPU for throughput-oriented scenarios.
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Updated
Jul 13, 2023 - Python
Running large language models on a single GPU for throughput-oriented scenarios.
A thread-safe queue faster and more resource efficient than golang's native channels
Time series monitoring and alerting platform.
Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
extremly light uart library for AVR 8 bit microcontrollers
atomate2 is a library of computational materials science workflows
quacc is a flexible and extensible platform for high-throughput computational materials science and quantum chemistry.
An Intuitive, Lightweight, High Performance Full Stack Java Web Framework.
A low-latency LRU approximation cache in C++ using CLOCK second-chance algorithm. Multi level cache too. Up to 2.5 billion lookups per second.
A reactive driver for Aeron transport (https://github.com/real-logic/aeron)
Full automation of relative protein-ligand binding free energy calculations in GROMACS
A Simple Way of Creating Job Workflows in Go running in Processes, Containers, Tasks, Pods, or Jobs
Window-Based Hybrid CPU/GPU Stream Processing Engine
MatID is a python package for identifying and analyzing atomistic systems based on their structure. MatID is designed to help researchers in the automated analysis and labeling of atomistic datasets.
High-throughput molecular docking with multiple targets and ligands using Vina series engines
Package containing the AiiDA-FLEUR plugin(s) and some workflows for the FLEUR program (www.flapw.de) implementing DFT methods. This is a JuDFT effort see (www.judft.de).
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.
A low-latency, high-throughput order matching system implementation.
Molecular size calculation based on ellipsoid fitting over N conformers
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