pytorch implementation of "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks" LSTM(https://arxiv.org/abs/1512.05287)
☆22Nov 20, 2020Updated 5 years ago
Alternatives and similar repositories for BayesianRNN_pytorch
Users that are interested in BayesianRNN_pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Tensorflow2 training code with jit compiling on multi-GPU.☆17Jan 28, 2021Updated 5 years ago
- Bayesian Backprop RNN implementation pytorch https://arxiv.org/abs/1704.02798☆25Jan 23, 2018Updated 8 years ago
- This project attempts to build neural network training and lightweighting cookbook including three kinds of lightweighting solutions, i.e…☆22Jul 20, 2022Updated 3 years ago
- The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"☆29Apr 30, 2017Updated 9 years ago
- PyTorch implementation of Variational LSTM and Monte Carlo dropout.☆56Jun 22, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Recurrent Plot on Multivariate Time Series Windows for Transfer Learning–based RUL estimation☆15Mar 28, 2022Updated 4 years ago
- Google Colab tutorial with simple network training and Tensorboard.☆14Jul 17, 2019Updated 6 years ago
- Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.☆40Mar 30, 2018Updated 8 years ago
- Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al☆221Dec 17, 2018Updated 7 years ago
- Reproducing VID in CVPR2019 (on working)☆20Nov 25, 2019Updated 6 years ago
- RNN-Transducer for korean☆45Oct 31, 2020Updated 5 years ago
- ☆22May 6, 2020Updated 6 years ago
- Experiments from our work Uncertainty Quantification and Deep Ensemble☆10Nov 1, 2021Updated 4 years ago
- ☆12Jun 2, 2018Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- code of the paper "Reliability modeling and statistical analysis of accelerated degradation process with memory effects and unit-to-unit …☆13Jan 28, 2026Updated 4 months ago
- ☆10Jul 27, 2020Updated 5 years ago
- ☆16Oct 3, 2021Updated 4 years ago
- Bayesian LSTM Implementation in PyTorch☆116Jan 12, 2023Updated 3 years ago
- ☆64Jan 18, 2026Updated 4 months ago
- 🧬 Non-linear feature reduction using Deep Autoencoders and Breast Cancer classification.☆11Mar 7, 2022Updated 4 years ago
- Uncertainty estimation on Mnist dataset☆23Jan 13, 2018Updated 8 years ago
- SparseAutoEncoder - Unsupervised Learning☆14May 15, 2012Updated 14 years ago
- DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network☆12Mar 5, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 1 提出了一种新的相似度损失(SimL)，用于增大类间差异同时减小类内差异；2 SimL+CE优化CNN；3 基于电信号诊断轴承故障☆15Jun 4, 2024Updated 2 years ago
- Official repo for FunkNN: Neural Interpolation for Functional Generation☆11May 12, 2023Updated 3 years ago
- Paper code for An Iterative Resampling Deep Decoupling Domain Adaptation Method for Class-imbalance Bearing Fault Diagnosis Under Variant…☆19Sep 11, 2023Updated 2 years ago
- ☆16Apr 20, 2020Updated 6 years ago
- " Weight Uncertainty in Neural Networks"☆49Jan 31, 2018Updated 8 years ago
- Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning W…☆25Jan 25, 2020Updated 6 years ago
- Custom Keras layers for implementing multi-dimensional recurrent neural networks (MDRNNs) described in Alex Graves's paper https://arxiv.…☆10Apr 27, 2020Updated 6 years ago
- ☆12Aug 17, 2020Updated 5 years ago
- Datasets for compositional learning☆11Nov 28, 2018Updated 7 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.
- The codes for recent knowledge distillation algorithms and benchmark results via TF2.0 low-level API☆112Apr 6, 2022Updated 4 years ago
- PyTorch - Albert Large V2, Bert Base Uncased, Bert Large Uncased WWM Finetuned Squad, Distil Roberta Base, Roberta Base Squad2, Roberta l…☆11Jul 10, 2020Updated 5 years ago
- Semi-supervised spoken language understanding (SLU) via self-supervised speech and language model pretraining☆12Mar 23, 2021Updated 5 years ago
- Load Tensorflow pb file using Bert/TextCNNs, an ensemble model using Java.☆10Aug 20, 2021Updated 4 years ago
- A PyTorch implement of Dilated RNN☆11Dec 31, 2017Updated 8 years ago
- ☆21Sep 24, 2021Updated 4 years ago
- A Deep Neural Network based model to predict the Remaining Useful Life cycles of battery and on the basis of State of Health of the batte…☆17May 5, 2023Updated 3 years ago