AllanYangZhou / metalearning-symmetries
Experiments for Meta-Learning Symmetries by Reparameterization
☆56Updated 3 years ago
Alternatives and similar repositories for metalearning-symmetries:
Users that are interested in metalearning-symmetries are comparing it to the libraries listed below
- Monotone operator equilibrium networks☆51Updated 4 years ago
- ☆53Updated 6 months ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆44Updated last year
- Riemannian Convex Potential Maps☆67Updated last year
- ☆63Updated last year
- ☆31Updated 4 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 4 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Updated 5 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆54Updated 3 years ago
- Convex potential flows☆82Updated 3 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆62Updated 2 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆11Updated 2 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- ☆38Updated 4 years ago
- Autoregressive Energy Machines☆77Updated 2 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- A Pytorch implementation of the KWNG estimator☆14Updated 6 months ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated last year
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- ☆18Updated 3 years ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆59Updated 2 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago