| learnables/learn2learn |
2,283 |
|
0 |
1 |
almost 3 years ago |
19 |
February 10, 2022 |
13 |
mit |
Python |
| A PyTorch Library for Meta-learning Research |
| kjunelee/MetaOptNet |
480 |
|
0 |
0 |
over 3 years ago |
0 |
|
11 |
apache-2.0 |
Python |
| Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral) |
| metaopt/torchopt |
460 |
|
0 |
2 |
over 2 years ago |
14 |
November 10, 2023 |
6 |
apache-2.0 |
Python |
| TorchOpt is an efficient library for differentiable optimization built upon PyTorch. |
| DataSystemsGroupUT/AutoML_Survey |
173 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
|
| lucfra/FAR-HO |
133 |
|
0 |
0 |
about 6 years ago |
0 |
|
2 |
mit |
Jupyter Notebook |
| Gradient based hyperparameter optimization & meta-learning package for TensorFlow |
| dut-media-lab/BOML |
124 |
|
0 |
0 |
almost 5 years ago |
8 |
September 19, 2020 |
1 |
mit |
Python |
| Bilevel Optimization Library in Python for Multi-Task and Meta Learning |
| markdtw/meta-learning-lstm-pytorch |
92 |
|
0 |
0 |
about 7 years ago |
0 |
|
2 |
|
Python |
| pytorch implementation of Optimization as a Model for Few-shot Learning |
| sail-sg/optim4rl |
17 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Optim4RL is a framework of learning to optimize for reinforcement learning. |
| prolearner/hyper-representation |
16 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Python |
| This is the official repo for the experiments in the paper "Bilevel Programming for Hyperparameter Optimization and Meta-Learning" |
| Shen-Lab/LOIS |
8 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
|
C++ |
| [NeurIPS 2019] LOIS: Learning to Optimize In Swarms, guided by posterior estimation |
