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Starred repositories
🎨 Diagram as Code for prototyping cloud system architectures
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ME 539 - Introduction to Scientific Machine Learning
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
A library for scientific machine learning and physics-informed learning
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Jupyter notebook tutorials on various machine learning topics
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
Simulation, visualization, and inference of individual level infectious disease models with Julia
Physics-informed learning of governing equations from scarce data
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
18.S096 - Applications of Scientific Machine Learning
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
mitmath / 18337
Forked from SciML/SciMLBook18.337 - Parallel Computing and Scientific Machine Learning
Extensible, Efficient Quantum Algorithm Design for Humans.
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equations.
This MATLAB and Simulink Challenge Project Hub contains a list of research and design project ideas. These projects will help you gain practical experience and insight into technology trends and in…
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Raspberry Pi Zero powered AI-generated e-ink picture frame.
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)