gwgundersen / blog-themeLinks
Files needed to replicate my research blog
☆82Updated 7 months ago
Alternatives and similar repositories for blog-theme
Users that are interested in blog-theme are comparing it to the libraries listed below
Sorting:
- A didactic Python library with well-commented and annotated implementations of machine learning algorithms.☆54Updated 4 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- Agustinus' very opiniated publication-ready plotting library☆65Updated last month
- ☆23Updated last year
- Parameter-Free Optimizers for Pytorch☆129Updated last year
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated 2 years ago
- Loopy belief propagation for factor graphs on discrete variables in JAX☆151Updated 7 months ago
- Normalizing Flows using JAX☆83Updated last year
- Bayesian inference with Python and Jax.☆32Updated 2 years ago
- Folklore facts on probability distribution learning, testing, and whatever-ing☆260Updated 2 months ago
- Inference Combinators in JAX☆49Updated 2 weeks ago
- Open source code for EigenGame.☆30Updated 2 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆38Updated last month
- ☆21Updated 2 years ago
- ☆19Updated last year
- A miniscule implementation of reverse mode auto-differentiation☆29Updated 3 years ago
- probabilistic programming focused on fun☆41Updated 7 months ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆105Updated last year
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆87Updated 3 months ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆26Updated 4 years ago
- ☆51Updated last month
- Bayesian Bandits☆68Updated last year
- Riemannian Optimization Using JAX☆49Updated last year
- Neat Bayesian machine learning examples☆58Updated 4 months ago
- Set of Lecture at Duke in 2018 by Lenka Zdeborova and Florent Krzakala "Statistical Physics For Optimization and Learning"☆16Updated 5 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- ☆12Updated 3 years ago
- Code source of Learning Binary Trees by Argmin Differentiation.☆12Updated 2 years ago