HEmile / storchasticLinks
Stochastic Automatic Differentiation library for PyTorch.
☆205Updated 11 months ago
Alternatives and similar repositories for storchastic
Users that are interested in storchastic are comparing it to the libraries listed below
Sorting:
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- ☆100Updated 3 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated last year
- ☆52Updated last year
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆258Updated last year
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- Differentiable Sorting Networks☆116Updated last year
- Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…☆243Updated 4 years ago
- Differentiable Algorithms and Algorithmic Supervision.☆115Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- ☆169Updated last year
- Convex potential flows☆83Updated 3 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆188Updated 7 months ago
- ☆80Updated 3 years ago
- Normalizing Flows using JAX☆84Updated last year
- ☆214Updated 3 years ago
- Implementation of deep implicit attention in PyTorch☆65Updated 4 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- ☆192Updated last month
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 4 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆62Updated 4 years ago
- A Machine Learning workflow for Slurm.☆150Updated 4 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆57Updated 4 years ago
- ☆104Updated last year
- Parameter-Free Optimizers for Pytorch☆130Updated last year