Showing 1-20 of 36 projects
A deep learning model that converts images of mathematical equations into LaTeX code.
A lightweight JavaScript/TypeScript animation library for smooth, performant animations and interactions.
A comprehensive cheatsheet covering classical machine learning equations and diagrams.
A collection of notebooks covering quantitative finance and numerical methods in Python.
A Python library for converting Python calculations into rendered LaTeX equations.
A Python library for solving and discovering nonlinear partial differential equations using physics-informed neural networks.
Interactive Jupyter notebooks for learning the fundamentals of computational fluid dynamics with Python.
A collection of examples on creating colorful, annotated equations in LaTeX using Tikz.
A library for developing neural operators using Fourier methods and PyTorch, enabling efficient learning on infinite dimensional spaces.
High-performance symbolic regression library for Python and Julia, with support for explainable AI.
A Python library that converts images of LaTeX math equations into LaTeX code using computer vision and deep learning.
A textbook on parallel computing and scientific machine learning methods and applications
This repository contains decrypted content from the Equation Group, a suspected NSA hacking group.
A Python library for physical symbolic optimization, combining deep learning and reinforcement learning.
Numerical differential equation solvers in JAX, with autodifferentiation and GPU support.
Go library for scientific computing, numerical analysis, and data visualization tools for developers.
LAPACK is a comprehensive library for linear algebra computations including matrix factorizations.
Official code for a state-of-the-art score-based generative modeling approach using stochastic differential equations.
Differentiable SDE solvers with GPU support and sensitivity analysis
A Julia framework for acausal modeling, symbolic math, and parallelized scientific machine learning.
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