Riemannian Optimization Using JAX
☆55Oct 30, 2023Updated 2 years ago
Alternatives and similar repositories for rieoptax
Users that are interested in rieoptax are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- GRAPE with autograd on the TDSE and LME in Python☆12Mar 26, 2024Updated 2 years ago
- This repo contains papers, books, tutorials and resources on Riemannian optimization.☆66Sep 11, 2026Updated last week
- Turn jitted jax functions back into python source code☆23Dec 16, 2024Updated last year
- JAX implementation of the Mistral 7b v0.2 model☆35Jul 3, 2024Updated 2 years ago
- A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.☆44May 8, 2022Updated 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.
- Design and optimize variational quantum sensors☆12Dec 10, 2024Updated last year
- Website for the book "The Elements of Differentiable Programming".☆15Jul 2, 2025Updated last year
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)☆39Nov 1, 2024Updated last year
- Pauli operators manipulation toolbox.☆21Aug 21, 2026Updated 3 weeks ago
- Julia implementations of temporal difference Reinforcement Learning algorithms like Q-Learning and SARSA☆12Nov 16, 2025Updated 10 months ago
- Variational quantum circuit synthesis☆15Jan 17, 2023Updated 3 years ago
- Implementation of various equivariant models in JAX☆18Apr 12, 2024Updated 2 years ago
- ☆16Jan 18, 2021Updated 5 years ago
- Special functions in Jax☆20Updated this week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Python GUI for differential forms☆13Oct 14, 2023Updated 2 years ago
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆911Aug 20, 2026Updated 3 weeks ago
- Julia package for contraction of tensor networks, based on the sweep line algorithm outlined in the paper "General tensor network decodin…☆57Oct 18, 2023Updated 2 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆135May 7, 2026Updated 4 months ago
- Efficient numerical calculation of generalized filter functions☆19Apr 15, 2026Updated 5 months ago
- Model predictive control for robust quantum state preparation☆10Feb 9, 2022Updated 4 years ago
- Code for paper Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks☆13Aug 9, 2022Updated 4 years ago
- ☆18Aug 24, 2024Updated 2 years ago
- ☆12Nov 26, 2025Updated 9 months 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.
- Sum of handwritten digits using Deep Sets, implemented in PyTorch.☆22Apr 17, 2019Updated 7 years ago
- A library for programmatically generating equivariant layers through constraint solving☆287May 8, 2023Updated 3 years ago
- Implementations of the algorithms described in the paper: On the Convergence Theory for Hessian-Free Bilevel Algorithms.☆11Nov 1, 2024Updated last year
- A manifold optimization library for deep learning☆256Aug 10, 2021Updated 5 years ago
- Covariance Data Frames for Predictive M/EEG Pipelines☆36Mar 30, 2026Updated 5 months ago
- Mathematical Programming in JAX☆171Jun 2, 2025Updated last year
- Nonlinear Progamming with CasADi☆30Updated this week
- Implementation of the Regularized Nonlinear Acceleration algorithm☆13Oct 4, 2018Updated 7 years ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆762Updated this week
- 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.
- ☆25Dec 16, 2025Updated 9 months ago
- Deriving steepest descent convergence bounds and hyperparameter scaling laws in machine learning optimization from first principles, form…☆17Apr 11, 2026Updated 5 months ago
- [NeurIPS 2023] and [ICLR 2024] for robustness certification.☆10Nov 30, 2024Updated last year
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Sep 25, 2024Updated last year
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆328Sep 10, 2026Updated last week
- ☆10Oct 27, 2023Updated 2 years ago
- PDF and notebooks of GUDHI presentation @ NIPS 2017☆15Jan 22, 2018Updated 8 years ago