#计算机科学#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.
#计算机科学#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.
atomate2 is a library of computational materials science workflows
Realtime distributed messaging platform built using Go and React (Fullstack) ❤️
quacc is a flexible platform for computational materials science and quantum chemistry that is built for the big data era.
[ICML 2025 Spotlight] ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference
extremly light uart library for AVR 8 bit microcontrollers
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.
#前端开发#An Intuitive, Lightweight, High Performance Full Stack Java Web Framework.
A Simple Way of Creating Job Workflows in Go running in Processes, Containers, Tasks, Pods, or Jobs
🔬🖥 Automated Blood Vasculature Analysis of 3D Light-Sheet Image Volumes
Full automation of relative protein-ligand binding free energy calculations in GROMACS
A low-latency, high-throughput order matching system implementation.
Window-Based Hybrid CPU/GPU Stream Processing Engine
The Zavolab Automated RNA-seq Pipeline
High-throughput molecular docking with multiple targets and ligands using Vina series engines
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.