nec-research / tf-imleLinks
Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
☆67Updated 3 years ago
Alternatives and similar repositories for tf-imle
Users that are interested in tf-imle are comparing it to the libraries listed below
Sorting:
- ☆50Updated 5 years ago
- Implementation of deep implicit attention in PyTorch☆65Updated 4 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- ☆54Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆58Updated 4 years ago
- Very deep VAEs in JAX/Flax☆46Updated 4 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 3 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆39Updated 4 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 3 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆27Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- Efficient Householder Transformation in PyTorch☆69Updated 4 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆65Updated 2 years ago
- ☆64Updated last year
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆81Updated 3 years ago
- General Invertible Transformations for Flow-based Generative Models☆18Updated 5 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 5 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Structured matrices for compressing neural networks☆67Updated 2 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Updated 3 years ago
- [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding☆14Updated 4 years ago
- ☆30Updated 5 years ago
- Convex potential flows☆84Updated 4 years ago
- ☆33Updated 6 years ago
- Meta Optimal Transport☆105Updated 2 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago