NicolaBernini / PapersAnalysis
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
- The Singular Values of Convolutional Layers☆72Updated 6 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- ☆32Updated 6 years ago
- Basic experiment framework for tensorflow.☆92Updated 3 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 last year
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Updated 5 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆184Updated last year
- Autoregressive Energy Machines☆77Updated 2 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 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
- ☆61Updated 2 years ago
- ☆81Updated 7 years ago
- Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"☆178Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- ☆219Updated 6 years ago
- ContinualAI Jekyll website - NOW DEPRECATED☆28Updated last year
- Several implementations of the kernel-based activation functions☆61Updated 5 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…☆67Updated 10 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 6 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 6 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆80Updated 7 years ago
- 2019 talk at GECCO☆68Updated 5 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Second-order optimiser for deep networks☆76Updated 6 years ago
- Code for the paper 'A Biologically Inspired Visual Working Memory for Deep Networks'☆21Updated 5 years ago