Mathpix / spectra-review-paper-competition
Competition for best expository article on cutting-edge ML research
☆56Updated 3 years ago
Alternatives and similar repositories for spectra-review-paper-competition:
Users that are interested in spectra-review-paper-competition are comparing it to the libraries listed below
- Repository of continual learning papers☆39Updated 3 years ago
- ☆191Updated 8 months ago
- ☆53Updated 6 months ago
- ☆163Updated 6 months ago
- paper lists and information on mean-field theory of deep learning☆75Updated 5 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆115Updated last year
- Deep Probabilistic Programming Course @ DIKU☆57Updated 4 years ago
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- Normalizing Flows using JAX☆82Updated last year
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆44Updated 3 years ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆197Updated 2 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Neural Turing Machines in pytorch☆48Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated last year
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆106Updated 2 years ago
- Exploring Bayesian Optimization☆73Updated 3 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆172Updated 5 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆47Updated 3 years ago
- Some small scale experiments for my blog posts 📝☆78Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2019.☆129Updated 4 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆54Updated last year
- ☆67Updated 5 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆81Updated 7 months ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Updated 3 years ago
- ☆59Updated 5 years ago
- Stochastic Normalizing Flows☆73Updated 3 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆103Updated 4 years ago