DeepXDE
DeepXDE is a mature Physics-Informed Neural Network (PINN) framework known for usability; its official docs and examples are very friendly to Chinese-speaking users, and it supports TensorFlow, PyTorch and other backends. Its declarative API describes PDEs and boundary conditions, ideal for quickly validating physics-constrained learning.
Use cases: PINN teaching; small/medium inverse and forward PDE problems; research prototyping.
Tags: PINNBeginnerChinese DocsMulti-Backend
Related entries
- PhysicsNeMo · NVIDIA's physics-ML training framework (formerly Modulus) with PINN, neural oper
- AIPerf: LLM Inference Benchmarking at Scale · AIPerf is an LLM inference benchmarking tool from NVIDIA designed to evaluate th
- HiDream-O1-Video by ZhiXiang · HiDream-O1-Video-1.0 is a video generation model that demonstrates strong unders
- Unitree UnifoLM-WLA-1.0 General-Purpose Humanoid Robot Foundation Model · Unitree releases UnifoLM-WLA-1.0, a 6B parameter general-purpose embodied AI mod
- TensorRT Edge-LLM Completes MLPerf Edge Agentic Benchmark 6.4x Faster on Jetson AGX Thor · TensorRT Edge-LLM achieves significant inference acceleration on Jetson AGX Thor