PacktPublishing / Hands-On-Meta-Learning-with-Python
Hands-On Meta Learning with Python
☆72Updated last year
Related projects: ⓘ
- Meta learning framework with Tensorflow 2.0☆120Updated last year
- TensorFlow 2.0 implementation of MAML.☆84Updated 5 years ago
- PyTorch 1.x Reinforcement Learning Cookbook, published by Packt☆94Updated last year
- Deep Reinforcement One-Shot Learning Framework for Artificially Intelligent Classification Systems☆36Updated 4 years ago
- My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning☆41Updated last year
- https://cs330.stanford.edu/☆60Updated last year
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆196Updated 2 years ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆43Updated 6 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆173Updated last year
- A Pytorch implementation of MAML☆47Updated last year
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆194Updated 5 years ago
- Ensemble learning related books, papers, videos, and toolboxes☆286Updated 4 years ago
- Implementation of Matching Networks for One Shot Learning in TensorFlow 2.0☆29Updated 5 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆137Updated 3 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆242Updated 2 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆146Updated 5 years ago
- A modular toolbox for meta-learning research with a focus on speed and reproducibility.☆123Updated last year
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆227Updated 4 years ago
- Python implementation MAML (model-agnostic meta learning)☆30Updated 3 years ago
- A classified list of meta learning papers based on realm.☆346Updated last year
- ☆36Updated this week
- Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experi…☆27Updated 5 years ago
- A curated list of Meta-Learning resources/papers.☆553Updated 3 years ago
- [Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder☆23Updated 5 years ago
- Hands-on Reinforcement Learning with PyTorch, published by [Packt]☆46Updated 3 years ago
- Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow☆1,163Updated 3 years ago
- Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks☆32Updated 4 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆208Updated 4 years ago
- Keras Reinforcement Learning Projects published by Packt☆50Updated last year
- DEEP-BO for Hyperparameter Optimization of Deep Networks☆15Updated last year