ad-kernels

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Machine learning, in numpy

A collaboration friendly studio for NeRFs

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

Fit interpretable models. Explain blackbox machine learning.

A highly efficient implementation of Gaussian Processes in PyTorch

[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

Learning in infinite dimension with neural operators.

NMA Computational Neuroscience course