gbaydin / difftorch
A differentiation API for PyTorch
☆30Updated 4 years ago
Alternatives and similar repositories for difftorch:
Users that are interested in difftorch are comparing it to the libraries listed below
- Riemannian Convex Potential Maps☆67Updated last year
- ☆80Updated 3 years ago
- Layered distributions using FLAX/JAX☆10Updated 4 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 4 years ago
- ☆15Updated 4 years ago
- Dive into Jax, Flax, XLA and C++☆31Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆38Updated 4 years ago
- Efficient Householder Transformation in PyTorch☆63Updated 3 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆13Updated 5 years ago
- ☆22Updated 4 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 4 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Convex potential flows☆81Updated 3 years ago
- Experiment code for "Randomized Automatic Differentiation"☆66Updated 4 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 3 years ago
- A pytorch version of hamiltonian monte carlo☆13Updated 5 years ago
- The differentiable OSQP solver layer for PyTorch☆59Updated 2 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- Inference on non-linear dynamical systems written in JAX☆11Updated 4 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆54Updated 3 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆24Updated 2 years ago
- A LinearOperator implementation for PyTorch☆18Updated 4 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- ☆12Updated 4 years ago
- Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'☆24Updated 5 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆28Updated 5 years ago
- Code release for the ICLR paper☆20Updated 6 years ago