gbaydin / oxford-posterLinks
LaTeX beamer poster template themed for the University of Oxford
☆75Updated 2 years ago
Alternatives and similar repositories for oxford-poster
Users that are interested in oxford-poster are comparing it to the libraries listed below
Sorting:
- A little Python script to collect LaTeX sources for upload to the arXiv.☆369Updated 4 months ago
- A Machine Learning workflow for Slurm.☆151Updated 4 years ago
- LaTeX style file for the Journal of Machine Learning Research☆158Updated last year
- Folklore facts on probability distribution learning, testing, and whatever-ing☆268Updated 2 months ago
- ☆250Updated 2 years ago
- LaTeX template for an Oxford University thesis☆200Updated last year
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- Agustinus' very opiniated publication-ready plotting library☆69Updated 6 months ago
- ☆100Updated 3 years ago
- LaTeX Template for Mike Morrison's #betterposter☆312Updated 6 years ago
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- Large-scale, multi-GPU capable, kernel solver☆192Updated 3 months ago
- ☆171Updated last year
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 3 years ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- Stochastic Automatic Differentiation library for PyTorch.☆208Updated last year
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Manifold-learning flows (ℳ-flows)☆230Updated 5 years ago
- Normalizing Flows using JAX☆85Updated last year
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆91Updated 8 months ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- ☆214Updated 3 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- Efficient, lightweight variational inference and approximation bounds☆45Updated 3 weeks ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆37Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆111Updated 3 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 5 years ago
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆58Updated 2 years ago
- Design your own matplotlib stylefile interactively☆214Updated 4 years ago
- ☆19Updated 6 months ago