A clean TensorFlow implementation of Concrete Dropout
☆22Jan 16, 2018Updated 8 years ago
Alternatives and similar repositories for Concrete-Dropout
Users that are interested in Concrete-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:
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆251Nov 8, 2018Updated 7 years ago
- TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)☆16Jun 7, 2017Updated 9 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Nov 14, 2019Updated 6 years ago
- Encodings for neural architecture search☆29Apr 5, 2021Updated 5 years ago
- Using a convolutional neural net for time series forecasting☆21Oct 23, 2018Updated 7 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Custom JupyterLab container for local-workstations and in-cluster Kubernetes Data Science, Machine Learning and IoT.☆12Aug 22, 2019Updated 6 years ago
- Sparsifying Variational Dropout in Tensorflow☆22Nov 3, 2017Updated 8 years ago
- Bayesian Wi-Fi rate control☆21Nov 30, 2016Updated 9 years ago
- Building word embedding for large graphs by a set of random walks. Model learning is backed by Keras, which now supports TensorFlow or Th…☆17Feb 2, 2016Updated 10 years ago
- ☆13Nov 21, 2016Updated 9 years ago
- ☆69May 26, 2018Updated 8 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Jun 21, 2019Updated 7 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Oct 29, 2017Updated 8 years ago
- Implementation of various generative models☆14Oct 1, 2018Updated 7 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.
- ☆16Oct 29, 2019Updated 6 years ago
- ☆17Oct 6, 2020Updated 5 years ago
- Python package for inference with Gaussian processes☆11Mar 25, 2015Updated 11 years ago
- Inference on non-linear dynamical systems written in JAX☆11Aug 20, 2020Updated 5 years ago
- [ICML‘2024] "LoCoCo: Dropping In Convolutions for Long Context Compression", Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi Chen☆17Sep 7, 2024Updated last year
- Evaluating variational inference using Pareto-smoothed importance sampling and simulation-based calibration☆12Jun 8, 2018Updated 8 years ago
- This is the code for the SF Python meetup group tutorial on reinforcement learning☆13Jun 1, 2017Updated 9 years ago
- Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App☆16Jun 30, 2022Updated 4 years ago
- Randomized output tree for multilabel / multi-output regression tasks☆23Dec 2, 2015Updated 10 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Trust Region Policy Optimization (TRPO) in pure TensorFlow☆18Jun 7, 2018Updated 8 years ago
- Pytorch implementation of XGNN☆10Jan 20, 2021Updated 5 years ago
- Bayesian Deep Learning with Edward (and a trick using Dropout)☆15Jun 7, 2017Updated 9 years ago
- Pytorch implementation of Adaptative Dropout a.ka Standout.☆12Feb 22, 2018Updated 8 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Oct 12, 2020Updated 5 years ago
- An opinionated approach to have type safety in native JavaScript.☆10Jan 11, 2022Updated 4 years ago
- Official repository of the paper "Understanding the decisions of CNNs: an in-model approach"☆10Sep 7, 2021Updated 4 years ago
- ☆11Nov 3, 2023Updated 2 years ago
- Official repository for the AAAI-21 paper 'Explainable Models with Consistent Interpretations'☆18Apr 5, 2022Updated 4 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.
- Official code for "Efficient Deep Gaussian Process Models for Variable-Sized Inputs" - accepted in IJCNN2019☆15Jul 17, 2019Updated 7 years ago
- Supporting models and data to doi 10.1021/acs.jcim.1c01163☆15Oct 11, 2022Updated 3 years ago
- Shared repository for personal idyll posts☆13Dec 7, 2021Updated 4 years ago
- Efficient non-linear PCA through kernel PCA with the Nyström method☆13May 19, 2023Updated 3 years ago
- DeltaProduct is a new linear recurrent neural network architecture that uses products of generalized Householder matrices as state-transi…☆15Oct 13, 2025Updated 9 months ago
- Implement Categorical Variational autoencoder using Pytorch☆15Apr 25, 2018Updated 8 years ago
- Implementation of the paper titled: "FACE: Feasible and actionable counterfactual recourse" by Rafael et. at. - https://arxiv.org/pdf/190…☆14Dec 12, 2020Updated 5 years ago