PrincetonLIPS / RandomizedAutomaticDifferentiationLinks
Experiment code for "Randomized Automatic Differentiation"
☆67Updated 5 years ago
Alternatives and similar repositories for RandomizedAutomaticDifferentiation
Users that are interested in RandomizedAutomaticDifferentiation are comparing it to the libraries listed below
Sorting:
- Normalizing Flows in Jax☆107Updated 5 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Very deep VAEs in JAX/Flax☆46Updated 4 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- ☆214Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- Convex potential flows☆84Updated 3 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- ☆22Updated 5 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- ☆80Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Optimization with orthogonal constraints and on general manifolds☆130Updated 5 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆52Updated 4 years ago
- ☆64Updated last year
- ☆170Updated last year
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆128Updated last year
- A selection of neural network models ported from torchvision for JAX & Flax.