Escher's art and computer science(github.com)
53 points by signa11 | 9 comments
53 points by signa11 | 9 comments
84 points by fanf2 | 14 comments
473 points by theahura | 176 comments
A Substack essay from 12 Grams of Carbon arguing that deep learning is applied topology, explaining how neural networks transform data lying on manifolds.
154 points by ibobev | 35 comments
Eli Bendersky blog post explaining Monte Carlo simulations with examples like estimating pi by throwing darts, using Rust and Python.
684 points by jackcook | 148 comments
Project page for MeshGPT, a research paper from TU Munich, Politecnico di Torino and Audi that generates triangle meshes using decoder-only transformers.
360 points by jarbus | 42 comments
PyTorch blog post from Meta introducing Monarch, a framework moving beyond multi-controller SPMD for heterogeneous, asynchronous, fault-tolerant ML workflows.
453 points by jarmitage | 125 comments
GitHub repository for NVIDIA Warp, a Python framework for writing high-performance GPU simulation and graphics code.
20 points by tootie | 6 comments
GitHub directory in OpenAI's math repository containing hundreds of preprints of mathematical proofs and counterexamples.