shakedshammah / failures_of_DLLinks
☆90Updated 8 years ago
Alternatives and similar repositories for failures_of_DL
Users that are interested in failures_of_DL are comparing it to the libraries listed below
Sorting:
- Neural network training using iterated projections.☆90Updated 9 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- DrMAD☆107Updated 8 years ago
- Topics on theoretical, mathematical aspects of DL☆72Updated 9 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆145Updated 6 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆111Updated 8 years ago
- Code for Attentive Recurrent Comparators☆58Updated 8 years ago
- Scrapes the abstracts to NIPS 2017 papers.☆40Updated 8 years ago
- Cluttered MNIST Dataset☆53Updated 10 years ago
- Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf☆168Updated 8 years ago
- auto-tuning momentum SGD optimizer☆288Updated 6 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆210Updated 9 years ago
- ☆79Updated 8 years ago
- Exploring differentiation with respect to hyperparameters☆296Updated 10 years ago
- RNN with differentiable structure (number of neurons)☆22Updated 9 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 9 years ago
- RNNprop☆36Updated 8 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Implementation of http://arxiv.org/abs/1511.05641 that lets one build a larger net starting from a smaller one.☆159Updated 9 years ago
- Efficient layer normalization GPU kernel for Tensorflow☆110Updated 8 years ago
- Reading Group on Reinforcement Learning topics☆56Updated 9 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆103Updated 8 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 8 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 9 years ago
- Efficient implementation of Generative Stochastic Networks☆318Updated 9 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)☆173Updated 9 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 8 years ago
- TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular☆52Updated 8 years ago
- Deep Unsupervised Perceptual Grouping☆132Updated 5 years ago