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[NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks
Flax is a neural network library for JAX that is designed for flexibility.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks
A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
A Flow Field Prediction Program & Multiple Spatio_temporal Attention (MSTA) Network & Multiple Fusion Attention (MFA) & Spatial Transform Gradient Sharpening (STGS) (based on OpenSTL & DeepSpeed)
A curated list of awesome Machine Learning projects in Fluid Dynamics
A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation
hui-shao / byre
Forked from yesh0/byre北邮人 PT 命令行访问以及 qBittorrent 自动下载刷流
Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network
mathLab / PyDMD
Forked from PyDMD/PyDMDmathLab mirror of Python Dynamic Mode Decomposition
frp跨平台桌面客户端,可视化配置,轻松实现内网穿透! 支持所有frp版本
A user-friendly desktop GUI client for FRP on Windows.
chat log tool, easily use your own chat data. 聊天记录工具,轻松使用自己的聊天数据
Tutorials on data assimilation (DA) and the EnKF
Deep reinforcement learning with OpenFOAM
PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction".
We implement a Multifidelity-DeepONet that leverages both high-fidelity CFD simulations and real-time, low-fidelity sensor data. We also proved that Multifidelity-DeepONet has better performance co…