HolyBayes / pytorch_ardLinks
Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
☆84Updated 4 years ago
Alternatives and similar repositories for pytorch_ard
Users that are interested in pytorch_ard are comparing it to the libraries listed below
Sorting:
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 8 years ago
- PyTorch Implementations of Dropout Variants☆88Updated 7 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆129Updated last year
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- Implements stochastic line search☆118Updated 2 years ago
- Loss Patterns of Neural Networks☆86Updated 4 years ago
- Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!☆52Updated 6 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆53Updated 4 years ago
- Memory efficient MAML using gradient checkpointing☆86Updated 5 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆39Updated 4 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- an implementation of L0 regularization with PyTorch☆57Updated 7 years ago
- Prescribed Generative Adversarial Networks☆143Updated 5 years ago
- Implementations of quasi-hyperbolic optimization algorithms.☆102Updated 5 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Updated 5 years ago
- ☆28Updated 6 years ago
- Code for: Implicit Competitive Regularization in GANs☆116Updated 3 years ago
- Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.☆110Updated this week
- Hypergradient descent☆147Updated last year
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 3 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆58Updated 6 years ago
- custom cuda kernel for {2, 3}d relative attention with pytorch wrapper☆43Updated 5 years ago
- ☆117Updated 6 years ago
- ☆61Updated 2 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆192Updated 2 years ago
- ☆47Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago