Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
☆221Dec 17, 2018Updated 7 years ago
Alternatives and similar repositories for BayesianRecurrentNN
Users that are interested in BayesianRecurrentNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.☆40Mar 30, 2018Updated 8 years ago
- ☆62May 9, 2017Updated 8 years ago
- Bayesian Backprop RNN implementation pytorch https://arxiv.org/abs/1704.02798☆25Jan 23, 2018Updated 8 years ago
- Bayesian LSTM (Tensorflow)☆56Mar 24, 2023Updated 3 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
- 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.
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆379Jan 28, 2017Updated 9 years ago
- 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
- Accompanying code for "Deep Reinforcement Learning that Matters"☆155Sep 22, 2017Updated 8 years ago
- Tensorflow implementation for DilatedRNN☆354Oct 24, 2017Updated 8 years ago
- A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow☆2,219Dec 17, 2022Updated 3 years ago
- Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)☆1,016Jul 30, 2018Updated 7 years ago
- Code for 'Inference Suboptimality in Variational Autoencoders'☆10May 22, 2020Updated 5 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Jan 3, 2019Updated 7 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆581Feb 26, 2022Updated 4 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.
- Tensorflow implementation of Graph Convolutional Network☆77Oct 26, 2020Updated 5 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆35May 29, 2015Updated 10 years ago
- a repo sharing Bayesian Neural Network recent papers☆216Aug 9, 2019Updated 6 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,572Apr 19, 2024Updated last year
- Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015☆36May 21, 2018Updated 7 years ago
- Sawyer environments for reinforcement learning using the OpenAI Gym interface (EXPERIMENTAL)☆37Dec 11, 2019Updated 6 years ago
- " Weight Uncertainty in Neural Networks"☆49Jan 31, 2018Updated 8 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Jul 17, 2020Updated 5 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Dec 18, 2016Updated 9 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Code for Emergent Translation in Multi-Agent Communication☆81Jun 6, 2018Updated 7 years ago
- Implementing FastSent in theano☆12May 2, 2016Updated 9 years ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆292Dec 13, 2021Updated 4 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,844Mar 18, 2024Updated 2 years ago
- PyTorch implementation of Memory Augmented Self-Play☆52Oct 26, 2020Updated 5 years ago
- Tensorflow Implementation of Programmable Agents☆35Sep 25, 2017Updated 8 years ago
- Keras implementation for "Deep Networks with Stochastic Depth" http://arxiv.org/abs/1603.09382☆139Jul 21, 2020Updated 5 years ago
- Dilated RNNs in pytorch☆212Jun 24, 2019Updated 6 years ago
- Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)☆174Nov 3, 2016Updated 9 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- Experiments from "The Description Length of Deep Learning Models"☆10Aug 1, 2018Updated 7 years ago
- Implementation of ChoiceNet☆127Jul 31, 2018Updated 7 years ago
- TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"☆30Jun 10, 2018Updated 7 years ago
- Noisy Networks for Exploration☆187Jan 28, 2018Updated 8 years ago
- Dropout As A Bayesian Approximation: Code☆205Jul 3, 2015Updated 10 years ago
- Nested LSTM Cell☆252Mar 25, 2018Updated 8 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆210Aug 25, 2016Updated 9 years ago