OxML2020 / practicalsLinks
☆32Updated 4 years ago
Alternatives and similar repositories for practicals
Users that are interested in practicals are comparing it to the libraries listed below
Sorting:
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 3 years ago
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- ☆37Updated 3 years ago
- Official code for the Stochastic Polyak step-size optimizer☆139Updated last year
- ☆54Updated last year
- ☆59Updated 6 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆125Updated last year
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 years ago
- Collection of snippets for PyTorch users☆25Updated 3 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆45Updated 6 years ago
- Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…☆243Updated 4 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆65Updated 5 years ago
- ☆78Updated 5 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆107Updated last year
- ☆42Updated 5 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- A Machine Learning workflow for Slurm.☆150Updated 4 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- Computing topological cavities of deep neural networks☆68Updated 5 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆60Updated 5 years ago
- Neural Turing Machines in pytorch☆48Updated 3 years ago
- Some small scale experiments for my blog posts 📝☆79Updated 3 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- ☆100Updated 3 years ago
- Implements stochastic line search☆118Updated 2 years ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆63Updated 4 years ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆181Updated 4 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago