| sudharsan13296/Hands-On-Meta-Learning-With-Python |
857 |
|
0 |
0 |
over 4 years ago |
0 |
|
4 |
|
Jupyter Notebook |
| Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow |
| MaximeVandegar/Papers-in-100-Lines-of-Code |
395 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Python |
| Implementation of papers in 100 lines of code. |
| omerbsezer/Reinforcement_learning_tutorial_with_demo |
357 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc.. |
| leopard-ai/betty |
316 |
|
0 |
0 |
over 2 years ago |
9 |
October 12, 2023 |
4 |
apache-2.0 |
Python |
| Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization |
| PaddlePaddle/MetaGym |
225 |
|
0 |
1 |
over 3 years ago |
10 |
June 16, 2022 |
12 |
apache-2.0 |
Python |
| Collection of Reinforcement Learning / Meta Reinforcement Learning Environments. |
| ugurkanates/awesome-real-world-rl |
199 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
cc0-1.0 |
|
| Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more. |
| openai/EPG |
197 |
|
0 |
0 |
over 7 years ago |
0 |
|
4 |
mit |
Python |
| Code for the paper "Evolved Policy Gradients" |
| jonasrothfuss/ProMP |
166 |
|
0 |
0 |
almost 7 years ago |
0 |
|
2 |
mit |
Python |
| ProMP: Proximal Meta-Policy Search |
| allenai/savn |
111 |
|
0 |
0 |
over 6 years ago |
0 |
|
6 |
apache-2.0 |
Python |
| Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971) |
| EnnengYang/Awesome-Forgetting-in-Deep-Learning |
104 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
|
| A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218. |
