Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"
☆379Jan 28, 2017Updated 9 years ago
Alternatives and similar repositories for BayesianRNN
Users that are interested in BayesianRNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Dropout As A Bayesian Approximation: Code☆205Jul 3, 2015Updated 10 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆141Feb 24, 2016Updated 10 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆581Feb 26, 2022Updated 4 years ago
- Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.☆90May 22, 2016Updated 9 years ago
- ☆12Jun 2, 2018Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- pytorch implementation of "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks" LSTM(https://arxiv.org/abs/1512.…☆22Nov 20, 2020Updated 5 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Jul 26, 2016Updated 9 years ago
- Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al☆221Dec 17, 2018Updated 7 years ago
- ☆58May 26, 2016Updated 9 years ago
- Torch7 implementation of Grid LSTM as described here: http://arxiv.org/pdf/1507.01526v2.pdf☆186Feb 10, 2016Updated 10 years ago
- Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf☆83Nov 29, 2016Updated 9 years ago
- LSTM with associative memory cells (http://arxiv.org/abs/1602.03032)☆109May 1, 2016Updated 9 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆210Aug 25, 2016Updated 9 years ago
- Autograd automatically differentiates native Torch code☆558Oct 21, 2021Updated 4 years ago
- NordVPN Threat Protection Pro™ • AdTake your cybersecurity to the next level. Block phishing, malware, trackers, and ads. Lightweight app that works with all browsers.
- Code and models from the paper "Layer Normalization"☆243Nov 8, 2016Updated 9 years ago
- TensorFlow implementation of Neural Variational Inference for Text Processing☆537Aug 10, 2016Updated 9 years ago
- Mixed Incremental Cross-Entropy REINFORCE ICLR 2016☆333Mar 1, 2017Updated 9 years ago
- Review Network for Caption Generation☆181Jan 2, 2018Updated 8 years ago
- Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆43Jan 12, 2016Updated 10 years ago
- Hyper-parameter Optimization with DrMAD and Hypero☆23Jun 9, 2016Updated 9 years ago
- Recurrent Neural Network library for Torch7's nn☆944Dec 21, 2017Updated 8 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆254Nov 8, 2018Updated 7 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,844Mar 18, 2024Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆191Feb 12, 2019Updated 7 years ago
- Deep Networks with Stochastic Depth☆480Aug 13, 2018Updated 7 years ago
- ☆681Aug 21, 2018Updated 7 years ago
- Torch implementation of DRAW: A Recurrent Neural Network For Image Generation☆136Oct 7, 2015Updated 10 years ago
- Implementation of a simple example of Q learning in Torch.☆51Mar 5, 2017Updated 9 years ago
- Sequence-to-sequence model with LSTM encoder/decoders and attention☆1,282Dec 30, 2020Updated 5 years ago
- Reranking-based dependency parsing with inside-outside recursive neural network☆21Oct 11, 2014Updated 11 years ago
- The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"☆29Apr 30, 2017Updated 8 years ago
- Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.☆40Mar 30, 2018Updated 8 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm☆402Oct 9, 2019Updated 6 years ago
- This is a self contained software accompanying the paper titled: Learning Longer Memory in Recurrent Neural Networks: http://arxiv.org/ab…☆168Jan 3, 2018Updated 8 years ago
- End-To-End Memory Networks in Theano☆130Sep 18, 2022Updated 3 years ago
- A set of distributed learning algorithms for Torch☆94Oct 21, 2021Updated 4 years ago
- ByteNet for character-level language modelling☆318Aug 23, 2017Updated 8 years ago
- Query complex neural network graph structures in Torch☆28Mar 10, 2016Updated 10 years ago
- ☆167Aug 8, 2016Updated 9 years ago