Algorithms for computations on random manifolds made easier
☆101Dec 4, 2023Updated 2 years ago
Alternatives and similar repositories for stochman
Users that are interested in stochman are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆34Aug 30, 2022Updated 4 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆80Jun 21, 2021Updated 5 years ago
- ☆37Jul 1, 2020Updated 6 years ago
- PyTorch-based library for various kinds of representational-similarity analysis☆26Jun 7, 2024Updated 2 years ago
- Modular Gaussian Processes☆17Dec 9, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"☆10Feb 16, 2023Updated 3 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆13Dec 24, 2023Updated 2 years ago
- ☆19Jun 26, 2023Updated 3 years ago
- Quantify geometric intelligence in natural and artificial brains.☆51Jun 25, 2025Updated last year
- Code for Gaussian Score Matching Variational Inference☆34Feb 23, 2025Updated last year
- Laplace approximations for Deep Learning.☆548Apr 22, 2025Updated last year
- TensorFlow-Implementation of Deep Archetypal Analysis☆12Aug 4, 2021Updated 5 years ago
- CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…☆51Aug 17, 2021Updated 5 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆21Feb 25, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Reference implementation of divergence triangle https://arxiv.org/abs/1812.10907☆15Mar 24, 2023Updated 3 years ago
- Matrix-free linear algebra in JAX.☆180Sep 2, 2026Updated 2 weeks ago
- ☆20Dec 3, 2023Updated 2 years ago
- This repository represents a basic implementation of the paper "Riemannian Geometry of Deep Generative Models", along with the results on…☆13Oct 23, 2019Updated 6 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Mar 5, 2021Updated 5 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Aug 20, 2024Updated 2 years ago
- ☆15Jul 17, 2023Updated 3 years ago
- Computations and statistics on manifolds with geometric structures.☆1,520Aug 21, 2026Updated 3 weeks ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆18Oct 22, 2024Updated last year
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- large scale variational Gaussian state-space models☆15Sep 3, 2026Updated 2 weeks ago
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆11Dec 19, 2025Updated 9 months ago
- Gaussian process factor analysis with Poisson observations☆21Jul 6, 2022Updated 4 years ago
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Jul 12, 2021Updated 5 years ago
- Official repository for Cell Attention Networks☆15Jan 11, 2024Updated 2 years ago
- A (crude) differentiable implementation of The Heat Method for Distance Computation (Geodesics in Heat), by Crane Et Al.☆11Jul 13, 2021Updated 5 years ago
- Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.☆23Jul 30, 2024Updated 2 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆21Oct 27, 2021Updated 4 years ago
- ☆11Jun 29, 2021Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆64Feb 7, 2024Updated 2 years ago
- A library of discrete objectives☆27Oct 5, 2025Updated 11 months ago
- Some methods for comparing network representations in deep learning and neuroscience.☆145Jul 30, 2024Updated 2 years ago
- Riemannian Optimization Using JAX☆55Oct 30, 2023Updated 2 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆55May 16, 2022Updated 4 years ago
- Extensions to torch distributions☆19Apr 22, 2022Updated 4 years ago
- Implementation of Action Matching for the Schrödinger equation☆25Jun 18, 2023Updated 3 years ago