alexandersoen / pyBregMan
☆28Updated 4 months ago
Alternatives and similar repositories for pyBregMan
Users that are interested in pyBregMan are comparing it to the libraries listed below
Sorting:
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 3 years ago
- Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"☆44Updated 6 months ago
- The code for "Diffusion Geometry" (2024).☆43Updated 11 months ago
- Fast singularity detection with kernel☆33Updated last year
- ☆43Updated last month
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- Agustinus' very opiniated publication-ready plotting library☆64Updated last week
- Riemannian Optimization Using JAX☆49Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Quantification of Uncertainty with Adversarial Models☆28Updated last year
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆52Updated 2 weeks ago
- Deep Networks Grok All the Time and Here is Why☆34Updated 11 months ago
- ☆60Updated 3 years ago
- Matrix-free linear algebra in JAX.☆118Updated 4 months ago
- an Open Collaborative project to explore the implications — theoretical or practical — of the PDE perspective of ConvNets☆22Updated last year
- Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …☆71Updated last year
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated last year
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆42Updated last year
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated 2 years ago
- A system for automating selection and optimization of pre-trained models from the TAO Model Zoo☆25Updated 10 months ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆103Updated last year
- A Python package for generating concise, high-quality summaries of a probability distribution☆52Updated last month
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Updated last year
- Code for the book "The Elements of Differentiable Programming".☆84Updated last month
- Parameter-Free Optimizers for Pytorch☆127Updated last year
- A generic interface for linear algebra backends☆73Updated 2 months ago
- density-based clustering for exploratory data analysis based on multi-parameter persistence☆38Updated last month
- Synthetic data sets apt for Topological Data Analysis☆35Updated last month
- Website for the book "The Elements of Differentiable Programming".☆13Updated 8 months ago
- About A collection of AWESOME things about information geometry Topics☆160Updated 10 months ago