chrisorm / pydata-2018Links
☆64Updated 7 years ago
Alternatives and similar repositories for pydata-2018
Users that are interested in pydata-2018 are comparing it to the libraries listed below
Sorting:
- Automatic differentiation + optimization☆102Updated 6 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- A python library for stochastic variational inference and differentiable probabilistic programming☆33Updated 6 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆149Updated last year
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆190Updated 2 years ago
- Variational Fourier Features☆85Updated 4 years ago
- Materials of the Nordic Probabilistic AI School 2019.☆129Updated 5 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆60Updated 5 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆68Updated 6 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- Implementing Bayes by Backprop☆184Updated 6 years ago
- python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.☆125Updated 5 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆98Updated 3 years ago
- ☆16Updated 6 years ago
- Short introduction to Bayesian statistical modelling with PyMC3☆18Updated 5 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Implementation of the conjugate prior table for Bayesian Statistics☆52Updated last year
- A user-centered Python package for differentiable probabilistic inference☆203Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆113Updated 6 months ago
- Python 3.7 version of David Barber's MATLAB BRMLtoolbox☆25Updated 7 years ago
- In which I try to demystify the fundamental concepts behind Bayesian deep learning.☆123Updated 7 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- Edward content including papers, posters, and talks☆92Updated 4 years ago
- Neural Processes implementation for 1D regression☆64Updated 6 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science☆91Updated 6 years ago