chrisorm / pydata-2018
☆64Updated 6 years ago
Alternatives and similar repositories for pydata-2018:
Users that are interested in pydata-2018 are comparing it to the libraries listed below
- Automatic differentiation + optimization☆103Updated 5 years ago
- A python library for stochastic variational inference and differentiable probabilistic programming☆32Updated 5 years ago
- Experiments in Bayesian Machine Learning☆69Updated 5 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆184Updated last year
- Short introduction to Bayesian statistical modelling with PyMC3☆18Updated 5 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆58Updated 4 years ago
- Understanding normalizing flows☆131Updated 5 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- ☆16Updated 5 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated 7 months ago
- Repository for thuijskens.github.io☆11Updated last year
- Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function☆16Updated 7 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 6 years ago
- Variational Fourier Features☆83Updated 3 years ago
- Neural Processes implementation for 1D regression☆65Updated 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
- Tutorial on interpreting and understanding machine learning models☆68Updated 6 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆64Updated 6 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆69Updated 5 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 8 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Streamlined machine learning experiment management.☆107Updated 4 years ago
- Presented at Scipy Conference 2019☆125Updated 4 years ago
- An extension to Sacred for automated hyperparameter optimization.☆59Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- ☆30Updated 4 years ago
- Slides, Jupyter Notebooks and scripts for the Deep Learning: Do-It-Yourself! lectures at ENS☆21Updated 4 years ago