neurreps / awesome-neural-geometry
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
☆921Updated last month
Related projects ⓘ
Alternatives and complementary repositories for awesome-neural-geometry
- A curated list of topological deep learning (TDL) resources and links.☆222Updated 2 weeks ago
- Paper list for equivariant neural network☆997Updated 3 months ago
- Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.☆472Updated 5 months ago
- Topological Deep Learning☆236Updated this week
- ☆171Updated last year
- Computations and statistics on manifolds with geometric structures.☆1,268Updated last week
- Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.☆1,016Updated this week
- Compositional Linear Algebra☆432Updated 3 weeks ago
- List of papers studying machine learning through the lens of category theory☆1,280Updated last month
- Code and resources on scalable and efficient Graph Neural Networks☆530Updated last year
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆363Updated 2 weeks ago
- Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.☆526Updated this week
- Constrained optimization toolkit for PyTorch☆661Updated 2 years ago
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆473Updated 2 years ago
- Computing on Topological Domains☆179Updated this week
- ☆367Updated 2 years ago
- A Graph Neural Network Library in Jax☆1,376Updated 8 months ago
- A topological machine learning framework based on PyTorch☆157Updated 2 months ago
- Geometric kernels on manifolds, meshes and graphs☆219Updated this week
- A modular framework for neural networks with Euclidean symmetry☆964Updated 2 weeks ago
- Generative Flow Networks☆604Updated last year
- State Space Models library in JAX☆695Updated last week
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆301Updated 3 weeks ago
- Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other …☆675Updated last month
- E(2)-Equivariant CNNs Library for Pytorch☆603Updated last year
- About A collection of AWESOME things about information geometry Topics☆148Updated 4 months ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆131Updated last year
- Code for our NeurIPS 2022 paper☆363Updated last year
- JAX - A curated list of resources https://github.com/google/jax☆1,562Updated 4 months ago
- 🟠 A study guide to learn about Graph Neural Networks (GNNs)☆1,126Updated last year