jessstringham / notebooks
Jupyter notebooks for my blog
☆31Updated 5 years ago
Alternatives and similar repositories for notebooks:
Users that are interested in notebooks are comparing it to the libraries listed below
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆120Updated 5 years ago
- Probabilistic graphical models in python☆23Updated 6 years ago
- Example codes for the book Applied Stochastic Differential Equations☆189Updated 3 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 5 years ago
- Course webpage for PGM, Spring 2019.☆76Updated 4 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆183Updated 10 years ago
- List of resources for bayesian inference☆154Updated 5 years ago
- Notebooks explaining the intuition behind the Expectation Maximisation algorithm☆38Updated 5 years ago
- machine learning☆38Updated 6 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆44Updated 5 years ago
- A curated list of awesome variational inference☆20Updated 4 years ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 5 years ago
- Python 3.7 version of David Barber's MATLAB BRMLtoolbox☆24Updated 6 years ago
- Slides and lecture notes for the course 'machine learning I' taught at the Graduate School Neural Information Processing in Tuebingen.☆30Updated 9 years ago
- Code used in the causality course (401-4632-15) at ETH Zurich.☆22Updated 5 years ago
- Bayesian Learning course at Stockholm University☆151Updated 9 months ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 2 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 5 years ago
- Official documentation☆28Updated 4 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆173Updated 2 years ago
- Fastfit matlab toolbox☆27Updated 8 years ago
- Materials for Bayesian Methods in Machine Learning Course☆88Updated 4 months ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated 9 months ago
- ☆45Updated 4 years ago
- ☆273Updated 4 years ago
- Variational Inference in Gaussian Mixture Model☆59Updated 4 years ago
- ☆94Updated 6 years ago
- Implementation of Markov Chain Monte Carlo in Python from scratch☆211Updated 4 years ago