prolearner / hyper-representationLinks
This is the official repo for the experiments in the paper "Bilevel Programming for Hyperparameter Optimization and Meta-Learning"
☆29Updated 7 years ago
Alternatives and similar repositories for hyper-representation
Users that are interested in hyper-representation are comparing it to the libraries listed below
Sorting:
- ☆126Updated last year
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆67Updated 2 years ago
- ☆59Updated 2 years ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆190Updated 5 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Updated 6 years ago
- ☆94Updated 4 years ago
- Generative Model for Neural Networks☆24Updated 5 years ago
- CFG-GAN: Composite functional gradient learning of generative adversarial models☆15Updated 5 years ago
- Code for Invariant Rep. Without Adversaries (NIPS 2018)☆35Updated 6 years ago
- PyTorch Implementation of Neural Statistician☆61Updated 3 years ago
- [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks☆82Updated 5 years ago
- Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…☆50Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 7 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 4 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆65Updated 6 years ago
- Code for "Online Learned Continual Compression with Adaptive Quantization Modules"☆27Updated 5 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆61Updated 6 years ago
- "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.☆61Updated 6 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 7 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆208Updated 7 years ago
- Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching☆27Updated 7 years ago
- PyTorch implementation of Neural Processes☆88Updated 6 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆68Updated 6 years ago
- ☆22Updated 3 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆53Updated 4 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- implements optimal transport algorithms in pytorch☆104Updated 3 years ago
- ☆13Updated 6 years ago