HilbertXu / MAML-Tensorflow
Tensorflow r2.1 reimplementation of Model-Agnostic Meta-Learning
☆21Updated 4 years ago
Alternatives and similar repositories for MAML-Tensorflow:
Users that are interested in MAML-Tensorflow are comparing it to the libraries listed below
- TensorFlow 2.0 implementation of MAML.☆83Updated 5 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆180Updated 2 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆234Updated 4 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆142Updated 4 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆218Updated 5 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆201Updated 9 months ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆105Updated 2 years ago
- Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)☆57Updated 5 years ago
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆206Updated 2 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆230Updated 7 months ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆41Updated 6 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆139Updated 5 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 2 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 5 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆89Updated 6 years ago
- EDGE: Scalable and optimum mutual information estimator for high-dimensional applications including deep learning☆40Updated 2 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆193Updated 6 years ago
- A classified list of meta learning papers based on realm.☆359Updated 2 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆246Updated 3 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆561Updated 6 years ago
- A Neuromodulated Meta-Learning algorithm☆115Updated 4 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆164Updated 3 years ago
- A curated list of Meta-Learning resources/papers.☆555Updated 4 years ago
- code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."☆38Updated 6 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆806Updated last year
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆641Updated 2 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆62Updated 5 years ago
- Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.☆103Updated 3 years ago
- ☆154Updated 5 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆846Updated 2 years ago