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
Sorting:
- Tensorflow2 training code with jit compiling on multi-GPU.☆17Jan 28, 2021Updated 5 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
- PyTorch implementation of Variational LSTM and Monte Carlo dropout.☆56Jun 22, 2022Updated 3 years ago
- Implementation of Autoslim using Tensorflow2☆11Jun 5, 2020Updated 5 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 7 years ago
- Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normali…☆20Jun 4, 2024Updated last year
- RNN-Transducer for korean☆45Oct 31, 2020Updated 5 years ago
- Reproducing VID in CVPR2019 (on working)☆20Nov 25, 2019Updated 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 5 years ago
- Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al☆221Dec 17, 2018Updated 7 years ago
- SparseAutoEncoder - Unsupervised Learning☆14May 15, 2012Updated 13 years ago
- ☆10Jun 25, 2020Updated 5 years ago
- ☆11Jun 4, 2021Updated 4 years ago
- ☆31Sep 20, 2019Updated 6 years ago
- Using a very fast denoising autoencoder☆18Jun 21, 2014Updated 11 years ago
- Code for processing brain data☆12Apr 5, 2019Updated 6 years ago
- Datasets for compositional learning☆11Nov 28, 2018Updated 7 years ago
- CEEMDAN-VMD-TCN-GRU&RF model☆15May 18, 2024Updated last year
- datetime模块的C语言实现,《奔跑吧,Python君》系列相关代码☆10Apr 30, 2023Updated 2 years ago
- Experiments from our work Uncertainty Quantification and Deep Ensemble☆10Nov 1, 2021Updated 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
- A PyTorch implement of Dilated RNN☆11Dec 31, 2017Updated 8 years ago
- 细粒度中文命名实体识别数据集处理,将json数据处理成BIOES标注的数据。CLUENER dataset pretreatment☆11Jun 29, 2020Updated 5 years ago
- Spectral RNNs with adaptive window learning in TensorFlow, ICANN 2020.☆10Sep 20, 2021Updated 4 years ago
- State-Regularized Recurrent Neural Networks☆11Sep 20, 2019Updated 6 years ago
- DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network☆12Mar 5, 2021Updated 4 years ago
- ☆12Aug 17, 2020Updated 5 years ago
- A tool for visualization of complex job searches.☆13Jul 8, 2022Updated 3 years ago
- 中文文本主题提取,并根据主题,对预测文本进行分类☆12May 18, 2020Updated 5 years ago
- 2018年国际AIOps挑战赛KPI时序异常检测比赛基于OpenMLDB部署的工程化部署实践方案☆12Aug 30, 2022Updated 3 years ago
- From Prediction to Planning: Improving Software Quality with BELLTREE☆10Jan 29, 2023Updated 3 years ago
- Constrained Optimization in Pytorch☆12Feb 25, 2020Updated 6 years ago
- ☆12Jun 2, 2018Updated 7 years ago
- 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 last year
- Improving Sentiment Analysis with Multi-task Learning of Negation☆14May 6, 2021Updated 4 years ago
- Semi-supervised spoken language understanding (SLU) via self-supervised speech and language model pretraining☆12Mar 23, 2021Updated 4 years ago
- a probabilistic latent semantic analysis model in matlab programming☆21Jul 15, 2013Updated 12 years ago
- Code for the competition "CCKS 2020: 面向中文短文本的实体链指任务" , see https://www.biendata.xyz/competition/ccks_2020_el/☆14Dec 1, 2020Updated 5 years ago