deeprob-org / deeprob-kitLinks
A Python Library for Deep Probabilistic Modeling
☆61Updated 7 months ago
Alternatives and similar repositories for deeprob-kit
Users that are interested in deeprob-kit are comparing it to the libraries listed below
Sorting:
- ☆52Updated last year
- a python framework to build, learn and reason about probabilistic circuits and tensor networks☆101Updated last month
- CausalFlows: A library for Causal Normalizing Flows in Pytorch☆21Updated last month
- An implementation of EinsumNetworks in PyTorch.☆21Updated 2 weeks ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆50Updated last year
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 4 years ago
- Scalable training and inference for Probabilistic Circuits☆65Updated 2 weeks ago
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Updated 3 years ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆51Updated 10 months ago
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated last year
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆27Updated last year
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆87Updated 3 years ago
- A collection of commonly used datasets as benchmarks for density estimation☆24Updated 5 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 years ago
- Squared Non-monotonic Probabilistic Circuits☆22Updated 4 months ago
- Normalizing Flows using JAX☆83Updated last year
- ☆19Updated 2 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆19Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆19Updated 5 years ago
- ☆153Updated 2 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆50Updated last year
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆11Updated 7 months ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆54Updated last year
- ☆38Updated 4 years ago
- Probabilistic Circuits from the Juice library☆106Updated 11 months ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- Hyperbolic PCA via Horospherical Projections☆71Updated last year
- Public dataset repository for the Causal Chamber Project☆40Updated last month