TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"
☆84May 29, 2017Updated 8 years ago
Alternatives and similar repositories for Learning-To-Learn
Users that are interested in Learning-To-Learn are comparing it to the libraries listed below
Sorting:
- RNNprop☆36Mar 10, 2017Updated 9 years ago
- Neural-based Noise Filtering from Word Embeddings☆11Apr 29, 2017Updated 8 years ago
- 🏃 Implementation of Using Fast Weights to Attend to the Recent Past.☆272Feb 20, 2019Updated 7 years ago
- A PyTorch implementation of Learning to learn by gradient descent by gradient descent☆317Aug 27, 2018Updated 7 years ago
- Learning to Learn in TensorFlow☆4,070Jun 29, 2021Updated 4 years ago
- ☆14Apr 12, 2017Updated 8 years ago
- Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)☆44Feb 28, 2017Updated 9 years ago
- ☆69Dec 19, 2018Updated 7 years ago
- Reasoning about pragmatics with neural listeners and speakers☆22Apr 2, 2016Updated 9 years ago
- Wide Residual Networks implemented in TensorLayer and TensorFlow.☆44Oct 30, 2016Updated 9 years ago
- Learning to execute Python in Tensorflow and other Seq2seq examples☆42May 12, 2016Updated 9 years ago
- There are few caveats when you want to use a Recurrent Neural Network (RNN) policy with Policy Gradient Algorithms. This repository expla…☆18Aug 16, 2017Updated 8 years ago
- Reproduction of "Learning to Learn by Gradient Descent by Gradient Descent"☆48May 18, 2019Updated 6 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Mar 2, 2017Updated 9 years ago
- Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"☆14Oct 27, 2016Updated 9 years ago
- Forward Thinking NIPS 2017☆107Jan 25, 2018Updated 8 years ago
- A super simple way to do distributed hyperparameter tuning with Keras and Mongo☆30Apr 16, 2017Updated 8 years ago
- Notebook from my blog☆15Apr 9, 2017Updated 8 years ago
- Torch implementation of PixelCNN for MNIST☆29Nov 18, 2016Updated 9 years ago
- ☆58May 26, 2016Updated 9 years ago
- Design good curriculums for deep reinforcement learning☆14May 18, 2016Updated 9 years ago
- ☆44Oct 27, 2018Updated 7 years ago
- Repository for Chained Gaussian Processes☆14Apr 12, 2016Updated 9 years ago
- A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783☆68Oct 28, 2016Updated 9 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Jun 15, 2017Updated 8 years ago
- GLIA: Graph Learning Library for Image Analysis☆10May 26, 2017Updated 8 years ago
- RWA in pytorch☆14May 7, 2017Updated 8 years ago
- ☆19Nov 2, 2016Updated 9 years ago
- an openframeworks app that live-captions your desktop screen with a neural net☆18Jan 13, 2017Updated 9 years ago
- Deterministic Policy Gradient using torch7☆43Jun 2, 2016Updated 9 years ago
- Experiments with different loss functions for image classification☆20Sep 9, 2017Updated 8 years ago
- ☆62May 9, 2017Updated 8 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆81Nov 22, 2017Updated 8 years ago
- Query-Reduction Networks (QRN)☆138Dec 20, 2017Updated 8 years ago
- Recurrent Memory Network - Torch implementation☆35Oct 25, 2016Updated 9 years ago
- Pointer Networks in Tensorflow☆100Nov 23, 2017Updated 8 years ago
- LSTM with associative memory cells (http://arxiv.org/abs/1602.03032)☆109May 1, 2016Updated 9 years ago
- Experiments from "The Description Length of Deep Learning Models"☆10Aug 1, 2018Updated 7 years ago
- Tensor Switching Networks☆12Nov 2, 2017Updated 8 years ago