Making large AI models cheaper, faster and more accessible
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Updated
Jun 13, 2024 - Python
Making large AI models cheaper, faster and more accessible
EnKF code for DA with large-scale layered geophysical models.
Model reduction library with an emphasis on large scale parallelism and linear subspace methods
Run large scale HADDOCK simulations using multiple input molecules in different scenarios
Visualizer for large-scale and interactive ray-tracing of neurons
Internet scanning anywhere and everywhere. Globally deploy your Internet measurements, scans and experiments leveraging cloud infrastructure and consumer-grade VPN subscriptions.
🏆 A weekly updated ranked list of popular open-source libraries and tools for Power System Analysis.
[ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula
ActiveRecord PostgreSQL Adapter extension for using a cursor to return a large result set
A face database for large scale face recognition
[ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
Large-Scale MLS Point Cloud Dataset Semantic Segmentation.
A high-performance distributed training framework for Reinforcement Learning
BioDynaMo is a high-performance and modular, agent-based simulation platform.
飞桨大模型开发套件,提供大语言模型、跨模态大模型、生物计算大模型等领域的全流程开发工具链。
Website for "Awesome Learning to Hash" https://learning2hash.github.io
Large-scale cell segmentation with cellpose.
Full public release of large scale and linear scaling DFT code CONQUEST
LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training
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