Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
☆49Nov 3, 2017Updated 8 years ago
Alternatives and similar repositories for variational_dropout
Users that are interested in variational_dropout are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch Implementations of Dropout Variants☆88Jan 7, 2018Updated 8 years ago
- Sparsifying Variational Dropout in Tensorflow☆22Nov 3, 2017Updated 8 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Oct 29, 2017Updated 8 years ago
- Sparse Variational Dropout, ICML 2017☆313May 20, 2020Updated 5 years ago
- pytorch Transformer model with byte-pair encoding☆11Jan 7, 2018Updated 8 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆85Nov 29, 2021Updated 4 years ago
- Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer☆18Jun 22, 2017Updated 8 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Jan 31, 2020Updated 6 years ago
- Implementation of paper "Parallelizable Stack Long Short-Term Memory"☆12Apr 8, 2019Updated 7 years ago
- Bi-Real-Net Model in Pytorch https://arxiv.org/abs/1808.00278 + pre-trained fp model weights☆18Sep 17, 2019Updated 6 years ago
- code release for the NIPS 2016 paper☆27Oct 21, 2016Updated 9 years ago
- Randomized Value Functions via Multiplicative Normalizing Flows☆17Jan 1, 2023Updated 3 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Jul 17, 2020Updated 5 years ago
- Official Implementation of ACL2023: Don't Parse, Choose Spans! Continuous and Discontinuous Constituency Parsing via Autoregressive Span …☆14Aug 25, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Nov 14, 2019Updated 6 years ago
- The code for the paper "Adversarial Decomposition of Text Representation", NAACL 2019☆29Dec 8, 2022Updated 3 years ago
- Berg - Run GPU-backed experiments on gcloud☆26Nov 17, 2018Updated 7 years ago
- Tensorflow implementation of DropMax: Adaptive Variational Softmax (NeurIPS2018)☆18Apr 26, 2020Updated 6 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆62Jun 3, 2018Updated 7 years ago
- Lecture Notes (with exercises) for Basic Probability course at University of Amsterdam☆17Sep 7, 2018Updated 7 years ago
- This is a tutorial in the form of a Jupyter notebook☆13Mar 1, 2019Updated 7 years ago
- A numerical integration routine that works for the natural logarithm of functions☆12Sep 4, 2024Updated last year
- Python + TensorFlow implementation of the DropoutNet model☆13Feb 4, 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.
- Practice for coding interviews.☆37Dec 3, 2019Updated 6 years ago
- Official Repository for Efficient Linear-Time Attention Transformers.☆18Jun 2, 2024Updated last year
- Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients☆58Mar 31, 2020Updated 6 years ago
- ☆53Jan 6, 2024Updated 2 years ago
- ☆77Jun 7, 2019Updated 6 years ago
- A clean TensorFlow implementation of Concrete Dropout☆22Jan 16, 2018Updated 8 years ago
- Parallel Associative Scan for Language Models☆18Jan 8, 2024Updated 2 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Nov 7, 2019Updated 6 years ago
- Sequential Neural Likelihood☆42Sep 12, 2019Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- a replicate of https://arxiv.org/pdf/1711.00937.pdf☆16Nov 11, 2017Updated 8 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆30Sep 25, 2021Updated 4 years ago
- pytorch implementation of Structured Bayesian Pruning☆19Jul 13, 2018Updated 7 years ago
- Code for 'Inference Suboptimality in Variational Autoencoders'☆10May 22, 2020Updated 5 years ago
- Experiments from "The Description Length of Deep Learning Models"☆10Aug 1, 2018Updated 7 years ago
- Noise-as-targets representation learning for cifar10. Implementation based on the paper "Unsupervised Learning by Predicting Noise" by Bo…☆23Jul 6, 2017Updated 8 years ago
- Various implementations and experimentation for deep neural network model compression☆24Sep 6, 2018Updated 7 years ago