pytorch-meta-optimizer
Meta learner
A PyTorch implementation of meta-learning using gradient descent to adapt to new tasks.
A PyTorch implementation of Learning to learn by gradient descent by gradient descent
312 stars
15 watching
54 forks
Language: Python
last commit: about 6 years ago deep-learninggradient-descentpytorch
Related projects:
Repository | Description | Stars |
---|---|---|
ikostrikov/pytorch-trpo | A PyTorch implementation of an optimization algorithm for continuous control and reinforcement learning tasks | 433 |
tristandeleu/pytorch-meta | Provides tools and datasets for meta-learning and few-shot learning in deep learning | 1,987 |
atgambardella/pytorch-es | An implementation of an optimization algorithm for training neural networks in machine learning environments. | 350 |
kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,217 |
moskomule/eve.pytorch | An implementation of an optimization algorithm inspired by a 2016 research paper | 33 |
katerakelly/pytorch-maml | An implementation of Model-Agnostic Meta-Learning (MAML) using PyTorch | 553 |
ikostrikov/pytorch-flows | PyTorch implementations of algorithms for density estimation using invertible transformations. | 576 |
metaopt/torchopt | An efficient library for differentiable optimization built on top of PyTorch. | 544 |
tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 827 |
pkmr06/pytorch-smoothgrad | PyTorch implementation of a technique to improve the interpretability of deep learning models by adding noise to the gradients | 167 |
clementpinard/sfmlearner-pytorch | PyTorch implementation of unsupervised depth and ego-motion learning from video sequences | 1,014 |
benedekrozemberczki/splitter | A PyTorch implementation of node representation learning using multiple social contexts | 213 |
rentruewang/koila | A lightweight wrapper around PyTorch to prevent CUDA out-of-memory errors and optimize model execution | 1,821 |
vinhkhuc/pytorch-mini-tutorials | A collection of tutorials and lessons on building deep learning models using the PyTorch library. | 326 |
felixgwu/img_classification_pk_pytorch | A PyTorch project for comparing image classification models and facilitating quick experiment setup | 365 |