#High-throughput
Showing 8 of 8 repositories tagged #high-throughput, ranked by stars
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
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.
⚡ Zero-Stall MoE Inference via Lookahead Prediction & Async DMA Prefetching. Optimized for SSD I/O with Hybrid MLA+Sliding Window Attention.
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.
A Framework for IMS-MS Raw Data Processing written in Rust and Python.