haydn-jones / SOAP_JAXLinks
Unofficial JAX implementation of the SOAP optimizer (https://arxiv.org/abs/2409.11321)
☆12Updated 11 months ago
Alternatives and similar repositories for SOAP_JAX
Users that are interested in SOAP_JAX are comparing it to the libraries listed below
Sorting:
- Flow-matching algorithms in JAX☆104Updated last year
- ☆125Updated 8 months ago
- ☆207Updated 9 months ago
- Diffusion models in PyTorch☆107Updated 2 months ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- Implementation of Action Matching for the Schrödinger equation☆23Updated 2 years ago
- Implementation of papers in 101 lines of code.☆18Updated last year
- A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).☆25Updated 6 months ago
- ☆56Updated 10 months ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆65Updated 5 months ago
- ☆24Updated 8 months ago
- Pytorch-like dataloaders for JAX.☆94Updated 3 months ago
- Implementation of PSGD optimizer in JAX☆34Updated 8 months ago
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Updated 2 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆11Updated last year
- Neural Diffusion Processes☆81Updated last year
- Maximal Update Parametrization (μP) with Flax & Optax.☆16Updated last year
- beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022☆46Updated 3 years ago
- Sequence Modeling with Structured State Spaces☆66Updated 3 years ago
- diffusionjax is a simple and accessible diffusion models package in JAX☆47Updated 7 months ago
- Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024☆117Updated 9 months ago
- Running Jax in PyTorch Lightning☆113Updated 8 months ago
- Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]☆29Updated 6 months ago
- Transformers with doubly stochastic attention☆47Updated 2 years ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆126Updated last year
- Code for Lie Symmetries SSL paper☆23Updated last year
- A parallel ODE solver for PyTorch☆264Updated 10 months ago
- ☆115Updated 2 months ago
- Stainless neural networks in JAX☆34Updated last month
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆35Updated 3 years ago