AdrienLE / learning_by_grad_by_grad_repro
Reproduction of "Learning to Learn by Gradient Descent by Gradient Descent"
☆48Updated 5 years ago
Alternatives and similar repositories for learning_by_grad_by_grad_repro:
Users that are interested in learning_by_grad_by_grad_repro are comparing it to the libraries listed below
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 5 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 7 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆69Updated 4 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 3 years ago
- Code for Unsupervised Learning via Meta-Learning.☆65Updated 4 years ago
- The rep for the RotateNetworks in ICPR18, Beijing, China.☆33Updated 6 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆115Updated 5 years ago
- The original code for the paper "Learning to Learn via Self-Critique".☆46Updated 5 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆38Updated 7 years ago
- Meta-SGD experiment on Omniglot classification compared with MAML☆79Updated 7 years ago
- ☆46Updated 7 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 5 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆89Updated 6 years ago
- ☆26Updated 6 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago
- Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"☆29Updated 7 years ago
- "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.☆60Updated 5 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆35Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees☆32Updated 5 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Updated 7 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…☆48Updated 3 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 5 years ago
- TensorFlow implementation of Elastic Weight Consolidation☆74Updated 7 years ago
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆23Updated 6 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆80Updated 7 years ago
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆67Updated last year
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 6 years ago