absorensen / numbers_go_brrrrLinks
They do indeed go brrrr
☆28Updated 3 weeks ago
Alternatives and similar repositories for numbers_go_brrrr
Users that are interested in numbers_go_brrrr are comparing it to the libraries listed below
Sorting:
- ☆162Updated last month
- Pytorch-like dataloaders for JAX.☆85Updated last week
- Minimal Implementation of Bayesian Optimization in JAX☆95Updated last month
- A Python package of computer vision models for the Equinox ecosystem.☆106Updated 10 months ago
- State of the art inference for your bayesian models.☆218Updated last month
- Hierarchical Associative Memory User Experience☆100Updated last year
- Running Jax in PyTorch Lightning☆102Updated 5 months ago
- ☆179Updated last week
- Differentiable computations for the signature-PDE-kernel on CPU and GPU.☆55Updated last year
- IVON optimizer for neural networks based on variational learning.☆66Updated 7 months ago
- Multiple dispatch over abstract array types in JAX.☆124Updated this week
- Materials of the Nordic Probabilistic AI School 2022.☆180Updated 2 years ago
- Algorithms for computations on random manifolds made easier☆90Updated last year
- Uncertainty quantification with PyTorch☆357Updated last month
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆39Updated last month
- The tiniest of Gaussian Process libraries☆309Updated this week
- Efficiently Composable Data Augmentation on the GPU with Jax☆35Updated 3 weeks ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆261Updated last week
- A dataloader, but for JAX☆21Updated last year
- Parameter-Free Optimizers for Pytorch☆129Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- Materials of the Nordic Probabilistic AI School 2024.☆65Updated 11 months ago
- Sketched matrix decompositions for PyTorch☆70Updated last month
- Neural Graphical models are neural network based graphical models that offer richer representation, faster inference & sampling☆29Updated last year
- ☆572Updated 2 weeks ago
- Toolbox for working with streaming data as rough paths in Python☆36Updated last week
- Compositional Linear Algebra☆476Updated last week
- Neural Networks for JAX☆84Updated 8 months ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆423Updated last week