yangsenius / learning-to-learn-by-pytorchLinks
"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.
☆60Updated 5 years ago
Alternatives and similar repositories for learning-to-learn-by-pytorch
Users that are interested in learning-to-learn-by-pytorch are comparing it to the libraries listed below
Sorting:
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆67Updated last year
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 3 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆89Updated 6 years ago
- ☆154Updated 5 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago
- Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization☆48Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆66Updated 4 years ago
- Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework☆52Updated 5 years ago
- This is the official repo for the experiments in the paper "Bilevel Programming for Hyperparameter Optimization and Meta-Learning"☆29Updated 6 years ago
- a respectively concise Implemention of Maml in Module way☆30Updated 5 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 3 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆62Updated 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
- Learning To Stop While Learning To Predict☆34Updated 2 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆44Updated 3 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- CFG-GAN: Composite functional gradient learning of generative adversarial models☆15Updated 4 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- ☆37Updated 4 years ago
- an implementation of Deep Variational Informational Bottleneck in pytorch (https://arxiv.org/pdf/1612.00410.pdf)☆33Updated 7 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 6 years ago
- Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article☆32Updated 6 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆75Updated 2 years ago
- Reproduction of "Learning to Learn by Gradient Descent by Gradient Descent"☆48Updated 6 years ago
- Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning☆31Updated 2 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- ARML for ICLR 2020☆42Updated 5 years ago
- Code for the paper Adaptive Auxiliary Task Weighting for Reinforcement Learning☆26Updated 4 years ago
- ☆83Updated last year