Alternatives and similar repositories for deeprob-kit:

Users that are interested in deeprob-kit are comparing it to the libraries listed below

• cambridge-mlg / EinsumNetworks
  ☆51Updated last year
• braun-steven / simple-einet
  An implementation of EinsumNetworks in PyTorch.
  ☆21Updated 2 months ago
• april-tools / gekcs
  How to Turn Your Knowledge Graph Embeddings into Generative Models
  ☆50Updated 8 months ago
• april-tools / cirkit
  a python framework to build, learn and reason about probabilistic circuits and tensor networks
  ☆89Updated last week
• EleMisi / VAEL
  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
  ☆20Updated last year
• cambridge-mlg / RAT-SPN
  Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning
  ☆37Updated 4 years ago
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆49Updated last year
• ermongroup / HyperSPN
  PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021
  ☆13Updated 3 years ago
• AlCorreia / cm-tpm
  Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models
  ☆12Updated 5 months ago
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆121Updated 3 years ago
• KareemYousrii / SPL
  This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers
  ☆27Updated last year
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆82Updated last year
• brencej / ProGED
  equation discovery based on generative models
  ☆15Updated 2 months ago
• Tractables / pyjuice
  Scalable training and inference for Probabilistic Circuits
  ☆56Updated last month
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆42Updated last year
• jacobdeasy / geometric-js
  ☆16Updated 3 years ago
• UCLA-StarAI / Density-Estimation-Datasets
  A collection of commonly used datasets as benchmarks for density estimation
  ☆24Updated 5 years ago
• PGM-Lab / probai-2021-pyro
  Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
  ☆48Updated 3 years ago
• ratschlab / bnn_priors
  Code for the paper "Bayesian Neural Network Priors Revisited"
  ☆58Updated 3 years ago
• probabilisticai / probai-2021
  Materials of the Nordic Probabilistic AI School 2021.
  ☆93Updated 3 years ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆84Updated 2 years ago
• stefaniaebli / simplicial_neural_networks
  Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…
  ☆76Updated 3 years ago
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 years ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆78Updated 3 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆87Updated last year
• april-tools / squared-npcs
  Squared Non-monotonic Probabilistic Circuits
  ☆21Updated last month
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆62Updated 2 years ago
• alejandromolinaml / MSPN
  Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains
  ☆16Updated 6 years ago
• pietrobarbiero / logic_explained_networks
  Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
  ☆48Updated last year