sanhacheong / stanford-beamer-presentationLinks
This is an unofficial LaTeX Beamer presentation template for Stanford University.
☆62Updated 6 years ago
Alternatives and similar repositories for stanford-beamer-presentation
Users that are interested in stanford-beamer-presentation are comparing it to the libraries listed below
Sorting:
- Generate a customised list of publications for your LaTeX CV using BibTeX entries.☆99Updated 3 years ago
- http://cranmer.github.io/stats-ds-book☆73Updated 4 years ago
- collection of favorite TikZ graphics☆209Updated 3 years ago
- A converter that takes a network (cnet, igraph, networkx, pathpy, ...) and creates a tikz-network for smooth integration into LaTeX.☆52Updated 3 years ago
- The Latex version of Mike Morrison's "better poster" template☆111Updated 2 years ago
- My Research Journal covering various topics that interest me. They're mostly scattered notes and resources.☆34Updated 2 years ago
- Artificial Neural Network related TikZ Graphics☆86Updated 4 years ago
- A curated list of resources for learning Gaussian Processes☆40Updated 4 years ago
- drawings☆56Updated 6 years ago
- Bibtex for various Python science and machine learning software☆33Updated 2 years ago
- Use LaTeX in PowerPoint☆188Updated 4 years ago
- LaTeX style file for the Journal of Machine Learning Research☆141Updated last year
- Companion code for a tutorial on using Hydra.☆29Updated 4 years ago
- Website for the ICML 2021 tutorial on Random Matrix Theory and Machine Learning☆15Updated 3 years ago
- A didactic Python library with well-commented and annotated implementations of machine learning algorithms.☆54Updated 4 years ago
- Jax SSM Library☆49Updated 2 years ago
- Notebooks for "Probabilistic Machine Learning" book☆203Updated 3 years ago
- Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.☆50Updated 5 years ago
- ☆30Updated 2 years ago
- STATS305C: Applied Statistics III (Spring, 2023)☆26Updated 2 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Course Reader based on Jupyter-Book☆39Updated 2 years ago
- Exploring Bayesian Optimization☆76Updated 3 years ago
- Deep learning lectures I am holding for the MSc on Data Science and Scientific Computing☆13Updated 3 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆44Updated 6 years ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆21Updated last year
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- LaTeX beamer poster template themed for the University of Oxford☆72Updated 2 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Updated 4 years ago
- Materials for a proposed Causal Inference Tutorial session at SciPy 2023☆12Updated 2 years ago