Algorithms for computations on random manifolds made easier
☆100Dec 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:
- This repository contains code for applying Riemannian geometry in machine learning.☆81Jun 21, 2021Updated 5 years ago
- PyTorch-based library for various kinds of representational-similarity analysis☆26Jun 7, 2024Updated 2 years ago
- Plotting pytorch tensors made easy!☆15Jan 28, 2021Updated 5 years ago
- Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"☆10Feb 16, 2023Updated 3 years ago
- Visualizing the latent space of generative models (VAE and BiGAN implemented here), as in latent vectors of testing images over the induc…☆18Apr 24, 2021Updated 5 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.
- Riemannian metrics to measure distances in latent space of VAEs☆14Jan 7, 2019Updated 7 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
- Matrix-free linear algebra in JAX.☆177Jul 1, 2026Updated 2 weeks ago
- Laplace approximations for Deep Learning.☆548Apr 22, 2025Updated last year
- Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)☆11Jan 16, 2020Updated 6 years ago
- CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…☆51Aug 17, 2021Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆11Oct 21, 2022Updated 3 years ago
- EstrousNet is a deep learning network that provides unbiased classification of estrous stage.☆21Aug 28, 2025Updated 10 months ago
- Reference implementation of divergence triangle https://arxiv.org/abs/1812.10907☆15Mar 24, 2023Updated 3 years ago
- [2022 ICML] A Statistical Manifold Framework for Point Cloud Data☆27Aug 10, 2022Updated 3 years ago
- This repository represents a basic implementation of the paper "Riemannian Geometry of Deep Generative Models", along with the results on…☆12Oct 23, 2019Updated 6 years ago
- A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond☆1,074Feb 24, 2026Updated 4 months ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆35Mar 5, 2021Updated 5 years ago
- ☆14Jul 17, 2023Updated 3 years ago
- Computations and statistics on manifolds with geometric structures.☆1,504Updated this week
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Steerable E(3) GNN in jax☆24Oct 1, 2023Updated 2 years ago
- large scale variational Gaussian state-space models☆15Updated this week
- Gaussian process factor analysis with Poisson observations☆21Jul 6, 2022Updated 4 years ago
- Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.☆23Jul 30, 2024Updated last year
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆20Oct 27, 2021Updated 4 years ago
- ☆64Feb 7, 2024Updated 2 years ago
- A library of discrete objectives☆27Oct 5, 2025Updated 9 months ago
- Shows some of the ways molecule generation and optimization can go wrong☆17Jul 6, 2023Updated 3 years ago
- Exercises and examples for the latent dynamics workshop☆20Updated this week
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆906Jun 2, 2025Updated last year
- Some methods for comparing network representations in deep learning and neuroscience.☆145Jul 30, 2024Updated last year
- Riemannian Optimization Using JAX☆55Oct 30, 2023Updated 2 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆54May 16, 2022Updated 4 years ago
- ☆12Jun 24, 2021Updated 5 years ago
- Implementation of Action Matching for the Schrödinger equation☆25Jun 18, 2023Updated 3 years ago
- Extensions to torch distributions☆19Apr 22, 2022Updated 4 years ago