eng-amrahmed / reptile-tf2Links
A TensorFlow 2.0 with eager execution implementation of Pytorch OpenAI few-shot regression toy example
☆16Updated 6 years ago
Alternatives and similar repositories for reptile-tf2
Users that are interested in reptile-tf2 are comparing it to the libraries listed below
Sorting:
- TensorFlow 2.0 implementation of MAML.☆83Updated 6 years ago
- Feature selection for maximizing expected cumulative reward☆30Updated 7 years ago
- ☆29Updated 5 years ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆42Updated 6 years ago
- Deep Reinforcement Active learning - Master Thesis☆19Updated 2 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 6 years ago
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- Tensorflow implementation of a Tree☆36Updated 6 years ago
- Adaptive Neural Trees☆155Updated 6 years ago
- Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)☆187Updated 5 years ago
- Code for AAAI 2018 accepted paper: "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"☆78Updated 7 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- Hands-On Meta Learning with Python☆78Updated 2 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆59Updated 2 years ago
- Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchic…☆132Updated 3 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆144Updated 4 years ago
- Meta learning framework with Tensorflow 2.0☆118Updated 2 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- State Space Models for Reinforcement Learning in Tensorflow☆19Updated 6 years ago
- PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.☆102Updated last year
- A modular toolbox for meta-learning research with a focus on speed and reproducibility.☆125Updated 2 years ago
- ☆53Updated 5 years ago
- An implementation of the Deep Neural Decision Forests in PyTorch☆163Updated 6 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 7 years ago
- MAML implementation (tensorflow)☆15Updated 6 years ago
- ☆90Updated 3 years ago
- Thompson Sampling Tutorial☆54Updated 6 years ago
- Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values☆118Updated 6 years ago
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆210Updated 3 years ago
- Reinforcement Learning implementations and research prototyping in TensorFlow☆82Updated 6 years ago