NicolaBernini / PapersAnalysisLinks
Analysis, summaries, cheatsheets about relevant papers
☆21Updated 4 years ago
Alternatives and similar repositories for PapersAnalysis
Users that are interested in PapersAnalysis are comparing it to the libraries listed below
Sorting:
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…☆148Updated 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, …☆113Updated 6 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- The Singular Values of Convolutional Layers☆72Updated 6 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- This repository is created to show the Neural Arithmetic Logic Unit implementation in python using Tensorflow. The code in this repo comp…☆43Updated 6 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆124Updated 10 months ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- ☆32Updated 6 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- ☆61Updated 2 years ago
- ☆99Updated 3 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 6 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 years ago
- Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"☆178Updated 5 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 6 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Basic experiment framework for tensorflow.☆92Updated 3 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆185Updated last year
- ☆78Updated 5 years ago
- ☆26Updated 6 years ago