Render probabilistic graphical models using matplotlib
☆684Updated this week
Alternatives and similar repositories for daft
Users that are interested in daft are comparing it to the libraries listed below
Sorting:
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,845Mar 18, 2024Updated last year
- TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.☆862Mar 20, 2024Updated last year
- Exploratory analysis of Bayesian models with Python☆1,784Updated this week
- Fast, flexible and easy to use probabilistic modelling in Python.☆3,506Mar 6, 2025Updated 11 months ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,610Updated this week
- Tutorials and sampling algorithm comparisons☆80Updated this week
- Bayesian Data Analysis demos for Python☆1,038Sep 19, 2025Updated 5 months ago
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆330Mar 20, 2024Updated last year
- Python library for Causal AI☆3,166Feb 20, 2026Updated last week
- BAyesian Model-Building Interface (Bambi) in Python.☆1,244Feb 19, 2026Updated last week
- ☆14Jul 2, 2019Updated 6 years ago
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆709Oct 4, 2021Updated 4 years ago
- Bayesian Modeling and Probabilistic Programming in Python☆9,498Updated this week
- Deep universal probabilistic programming with Python and PyTorch☆8,982Jul 9, 2025Updated 7 months ago
- Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke☆905Jul 16, 2021Updated 4 years ago
- Scikit-learn compatible estimation of general graphical models☆248Jun 14, 2025Updated 8 months ago
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆27Dec 8, 2022Updated 3 years ago
- A easy to use API to store outputs from forward/backward hooks in Pytorch☆36Aug 19, 2019Updated 6 years ago
- Fast and flexible Gaussian Process regression in Python☆460Feb 21, 2026Updated last week
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,020Feb 3, 2026Updated 3 weeks ago
- The Python ensemble sampling toolkit for affine-invariant MCMC☆1,567Feb 21, 2026Updated last week
- Probabilistic Torch is library for deep generative models that extends PyTorch☆894May 12, 2024Updated last year
- Gaussian processes in TensorFlow☆1,901May 29, 2025Updated 9 months ago
- Run fully connected artificial neural networks with dropout applied (mini)batchwise, rather than samplewise. Given two hidden layers each…☆15May 18, 2015Updated 10 years ago
- Efficiently computes derivatives of NumPy code.☆7,460Updated this week
- Statistical Rethinking (2nd ed.) with NumPyro☆468May 4, 2025Updated 9 months ago
- Matplotlib animations made easy☆1,136Feb 16, 2024Updated 2 years ago
- Gaussian processes framework in python☆2,141Jun 19, 2025Updated 8 months ago
- Describing statistical models in Python using symbolic formulas☆977Feb 16, 2026Updated last week
- Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2…☆53Jul 7, 2020Updated 5 years ago
- Density-preserving data visualization tools den-SNE and densMAP☆116Apr 27, 2021Updated 4 years ago
- Functional tensors for probabilistic programming☆245Aug 31, 2023Updated 2 years ago
- ☆42May 20, 2020Updated 5 years ago
- Semi-supervised learning via Compact Latent Space Clustering☆50Jun 6, 2019Updated 6 years ago
- ☆80Sep 28, 2016Updated 9 years ago
- Graph Neural Network☆44Oct 21, 2021Updated 4 years ago
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆243Feb 18, 2024Updated 2 years ago
- PyStan, the Python interface to Stan☆928Feb 17, 2021Updated 5 years ago
- Generic API for dispatch to Pyro backends.☆16Feb 13, 2022Updated 4 years ago