aurelio-amerio / ConcreteDropout
Concrete Dropout implementation for Tensorflow 2.0 and PyTorch
☆12Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for ConcreteDropout
- Benchmarks of Bayesian Nonparametric models in Turing and other PPLs☆29Updated 3 months ago
- ☆18Updated last year
- Visualize neural networks using TikZ in Julia☆12Updated 2 years ago
- DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop☆34Updated 3 years ago
- Pyro models and misc examples.☆19Updated 3 years ago
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆29Updated last year
- Material for STATS271: Applied Bayesian Statistics (Spring 2021)☆25Updated 3 years ago
- Course material for the PhD course in Advanced Bayesian Learning☆56Updated last week
- Gaussian Process package based on data augmentation, sparsity and natural gradients☆135Updated 7 months ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.☆138Updated last month
- Active multi-fidelity Bayesian online changepoint detection.☆17Updated 3 years ago
- A simple library to run variational inference on Stan models.☆26Updated last year
- Taking causal inference to the extreme!☆25Updated this week
- MCMC Inference for a Hawkes process in Julia☆24Updated last year
- Causal inference, graphical models and structure learning in Julia☆190Updated 3 weeks ago
- The code in this repository follows the paper "Stochastic gradient MCMC"☆23Updated 5 years ago
- A package for Counterfactual Explanations and Algorithmic Recourse in Julia.☆120Updated this week
- ☆18Updated 5 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆42Updated 5 years ago
- Stochastic Gradient Markov Chain Monte Carlo and Optimisation☆17Updated 7 years ago
- A Bayesian zoo☆14Updated 4 years ago
- Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)☆33Updated 3 years ago
- Density ratio estimation in Julia☆33Updated 3 weeks ago
- Kernels, the machine learning ones☆14Updated last year
- Score-driven models, aka generalized autoregressive score models, in Julia☆31Updated last year
- Lectures on Quantitative Economics Using JAX☆28Updated 3 weeks ago
- Turing.jl port of the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill, and Aki Vehtari☆19Updated 2 years ago
- A Julia package to support conjugate prior distributions.☆46Updated last year
- Causal Inference with Invariant Prediction☆25Updated 3 years ago