HolyBayes / pytorch_ard
Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
☆84Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for pytorch_ard
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆50Updated 7 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 6 years ago
- Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!☆50Updated 5 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆36Updated 3 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 4 years ago
- Implementations of quasi-hyperbolic optimization algorithms.☆102Updated 4 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆110Updated 5 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- ☆26Updated 5 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆18Updated 4 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆122Updated 4 months ago
- Autoregressive Energy Machines☆77Updated last year
- an implementation of L0 regularization with PyTorch☆56Updated 6 years ago
- Hypergradient descent☆138Updated 5 months ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆60Updated last year
- Loss Patterns of Neural Networks☆82Updated 3 years ago
- Effective uncertainty estimation with decorellation and DPP mask for dropout☆9Updated last year
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆33Updated 4 years ago
- This repository is no longer maintained. Check☆82Updated 4 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆40Updated 4 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆82Updated last year
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- ☆178Updated 5 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago