nikhil-dce / Transforming-Autoencoder-TFLinks
Tensorflow implementation of "Transforming Autoencoders" (Proposed by G.E.Hinton, et al.)
☆61Updated 8 years ago
Alternatives and similar repositories for Transforming-Autoencoder-TF
Users that are interested in Transforming-Autoencoder-TF are comparing it to the libraries listed below
Sorting:
- 🏃 Implementation of Using Fast Weights to Attend to the Recent Past.☆270Updated 6 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆134Updated 8 years ago
- Tools for PyTorch☆223Updated 3 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆103Updated 8 years ago
- Cleaned original source code from my NIPS publication☆158Updated 8 years ago
- Benchmark and build RL architectures that can do multitask and transfer learning.☆144Updated 3 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- Adaptive Computation Time algorithm in Tensorflow☆260Updated 8 years ago
- ☆79Updated 7 years ago
- auto-tuning momentum SGD optimizer☆288Updated 6 years ago
- supercell☆192Updated 8 years ago
- Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom☆277Updated 7 years ago
- Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf☆170Updated 8 years ago
- One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow☆238Updated 7 years ago
- Fully differentiable deep-neural decision forest in tensorflow☆229Updated 8 years ago
- ☆69Updated 8 years ago
- This repository contains all the material for the MLTrain NIPS workshop☆244Updated 7 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆145Updated 6 years ago
- Adversarially Learned Inference☆311Updated 7 years ago
- Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch☆121Updated 8 years ago
- Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow☆202Updated 6 years ago
- Deep Dashboard: Machine Learning Training Visualizer☆45Updated 8 years ago
- Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆103Updated 8 years ago
- ☆138Updated 8 years ago
- An implementation of the Neural Turing Machine as a keras recurrent layer.☆139Updated 8 years ago
- DrMAD☆107Updated 8 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆121Updated 8 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 8 years ago
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆239Updated 6 years ago
- TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"☆84Updated 8 years ago