jmtomczak / vae_kan_exampleLinks
A simple example of VAEs with KANs
☆11Updated last year
Alternatives and similar repositories for vae_kan_example
Users that are interested in vae_kan_example are comparing it to the libraries listed below
Sorting:
- Diffusion models in PyTorch☆114Updated this week
- Your favourite classical machine learning algos on the GPU/TPU☆20Updated 10 months ago
- Source code for the paper "Positional Attention: Expressivity and Learnability of Algorithmic Computation"☆14Updated 5 months ago
- A Python Library for Learning Non-Euclidean Representations☆67Updated 3 months ago
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆137Updated last year
- Graph neural networks in JAX.☆68Updated last year
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆107Updated last month
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆51Updated last year
- Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"☆44Updated last year
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆25Updated last year
- code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"☆126Updated 3 months ago
- Neural Optimal Transport with Lagrangian Costs☆60Updated 5 months ago
- ☆15Updated 2 years ago
- A system for automating selection and optimization of pre-trained models from the TAO Model Zoo☆25Updated last year
- Official implementation of "Fourier Head: Helping Large Language Models Learn Complex Probability Distributions" (ICLR 2025)☆67Updated 7 months ago
- Clifford-Steerable Convolutional Neural Networks [ICML'24]☆49Updated 6 months ago
- Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)☆107Updated last month
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆18Updated 5 months ago
- Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …☆75Updated 2 years ago
- ☆31Updated last year
- The Superposition of Diffusion Models Using the Itô Density Estimator☆51Updated 7 months ago
- ☆33Updated last year
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold☆66Updated 8 months ago
- ☆33Updated 2 weeks ago
- The code for "Diffusion Geometry" (2024).☆44Updated last year
- TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning☆207Updated this week
- High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial…☆45Updated last year
- Official repo for BWLer: Barycentric Weight Layer☆24Updated last month
- Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.☆173Updated 2 years ago