UCLA-StarAI / Density-Estimation-DatasetsLinks
A collection of commonly used datasets as benchmarks for density estimation
☆24Updated 5 years ago
Alternatives and similar repositories for Density-Estimation-Datasets
Users that are interested in Density-Estimation-Datasets are comparing it to the libraries listed below
Sorting:
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆19Updated 5 years ago
- ☆52Updated last year
- Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains☆16Updated 7 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆50Updated last year
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Updated 3 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆11Updated 8 months ago
- Generative Forests in Python☆35Updated last year
- An implementation of EinsumNetworks in PyTorch.☆21Updated last month
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 5 years ago
- First-order knowledge compilation for lifted probabilistic inference☆11Updated 8 years ago
- ☆19Updated 2 years ago
- Sum-Product Network learning routines in python☆27Updated 10 years ago
- Probabilistic Circuits from the Juice library☆106Updated last year
- CausalFlows: A library for Causal Normalizing Flows in Pytorch☆22Updated last month
- Counterexample-Guided Learning of Monotonic Networks☆18Updated 3 years ago
- The Python PSDD Package☆16Updated last month
- a python framework to build, learn and reason about probabilistic circuits and tensor networks☆106Updated last week
- Python package for Sentential Decision Diagrams (SDD)☆62Updated 4 months ago
- A Python Library for Deep Probabilistic Modeling☆61Updated 8 months ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 4 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- Scalable training and inference for Probabilistic Circuits☆67Updated last week
- Code and supplemental material for "Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks"☆8Updated 7 years ago
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated last year
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆20Updated last year
- ☆19Updated 2 years ago
- Implementation of Nonparametric Hamiltonian Monte Carlo☆12Updated 2 years ago
- PAC-Bayes with Backprop - Tighter risk certificates for neural networks☆24Updated 3 years ago
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆27Updated last year