PacktPublishing / Hands-On-Meta-Learning-with-PythonLinks
Hands-On Meta Learning with Python
☆80Updated 2 years ago
Alternatives and similar repositories for Hands-On-Meta-Learning-with-Python
Users that are interested in Hands-On-Meta-Learning-with-Python are comparing it to the libraries listed below
Sorting:
- PyTorch 1.x Reinforcement Learning Cookbook, published by Packt☆101Updated 2 years ago
- Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow☆1,220Updated 4 years ago
- Reinforcement Learning Algorithms with Python, Published by Packt☆187Updated 2 years ago
- Meta learning framework with Tensorflow 2.0☆117Updated 2 years ago
- Ensemble learning related books, papers, videos, and toolboxes☆302Updated 6 years ago
- TensorFlow 2.0 implementation of MAML.☆83Updated 6 years ago
- My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning☆41Updated 2 years ago
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆214Updated 3 years ago
- https://cs330.stanford.edu/☆62Updated 2 years ago
- A classified list of meta learning papers based on realm.☆363Updated 3 years ago
- Python implementation MAML (model-agnostic meta learning)☆30Updated 4 years ago
- Python Implementation of Reinforcement Learning: An Introduction☆256Updated 7 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆254Updated 3 years ago
- A curated list of Meta-Learning resources/papers.☆554Updated 4 years ago
- Hands On Transfer Learning with Python, published by Packt☆85Updated last month
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆44Updated 7 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 5 years ago
- Hands-on Reinforcement Learning with PyTorch, published by [Packt]☆57Updated 4 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆182Updated 2 years ago
- Hands-On Generative Adversarial Networks with PyTorch 1.x, Published by Packt☆69Updated 2 years ago
- Keras Reinforcement Learning Projects published by Packt☆52Updated 2 years ago
- A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.☆1,560Updated 5 years ago
- Source code for paper Classification with Costly Features using Deep Reinforcement Learning.☆57Updated 4 years ago
- In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandit…☆89Updated 5 years ago
- A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning☆294Updated 4 years ago
- Continual Learning tutorials and demo running on Google Colaboratory.☆356Updated 3 years ago
- Deep Reinforcement Learning with Python, Second Edition, published by Packt☆205Updated last month
- ☆239Updated 5 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆241Updated 5 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆191Updated 6 years ago