mcbal / deep-implicit-attentionLinks
Implementation of deep implicit attention in PyTorch
☆65Updated 3 years ago
Alternatives and similar repositories for deep-implicit-attention
Users that are interested in deep-implicit-attention are comparing it to the libraries listed below
Sorting:
- ☆49Updated 4 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 4 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 11 months ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 11 months ago
- Lie Algebra Convolutional Network implementation☆43Updated 3 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Normalizing Flows in Jax☆108Updated 4 years ago
- Very deep VAEs in JAX/Flax☆46Updated 4 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- ☆22Updated 4 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- ☆63Updated last year
- ☆30Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated last year
- Monotone operator equilibrium networks☆52Updated 5 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding☆14Updated 4 years ago
- JAX exponential map normalising flows on sphere☆17Updated 4 years ago
- Implementation of approximate free-energy minimization in PyTorch☆19Updated 3 years ago
- ☆54Updated 11 months ago
- Neural Turing Machines in pytorch☆48Updated 3 years ago
- Transformers with doubly stochastic attention☆46Updated 2 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Updated 2 years ago