PGM-Lab / InferPyLinks
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
☆148Updated last year
Alternatives and similar repositories for InferPy
Users that are interested in InferPy are comparing it to the libraries listed below
Sorting:
- Statistical Rethinking with PyTorch and Pyro☆164Updated 3 months ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆175Updated 3 years ago
- Automatic differentiation + optimization☆103Updated 6 years ago
- ☆64Updated 7 years ago
- Variational Fourier Features☆85Updated 4 years ago
- In which I try to demystify the fundamental concepts behind Bayesian deep learning.☆123Updated 7 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆196Updated 2 years ago
- A python library for stochastic variational inference and differentiable probabilistic programming☆33Updated 6 years ago
- ☆98Updated 7 years ago
- Bayesian nonparametric machine learning for Python☆227Updated 2 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- A user-centered Python package for differentiable probabilistic inference☆202Updated 4 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 10 years ago
- Implementation of Hidden Markov Models in pymc3☆61Updated 8 years ago
- General Latent Feature Modeling for Heterogeneous data☆49Updated last year
- Implementation of linear CorEx and temporal CorEx.☆37Updated 4 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated last year
- Scikit-learn compatible estimation of general graphical models☆247Updated 2 months ago
- pymc-learn: Practical probabilistic machine learning in Python☆230Updated 4 years ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆389Updated last year
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- Neural Processes implementation for 1D regression☆65Updated 6 years ago
- Implementing Bayes by Backprop☆184Updated 6 years ago
- Randomized Dimension Reduction Library☆115Updated 4 years ago
- Functional tensors for probabilistic programming☆242Updated last year
- Edward content including papers, posters, and talks☆92Updated 4 years ago
- Dirichlet MLE python library☆117Updated 2 weeks ago