Alternatives and similar repositories for GeLaTo

Users that are interested in GeLaTo are comparing it to the libraries listed below

• Tractables / pyjuice
  Scalable training and inference for Probabilistic Circuits
  ☆60Updated last week
• joshuacnf / paradox-learning2reason
  ☆34Updated 4 months ago
• cambridge-mlg / EinsumNetworks
  ☆52Updated last year
• satwik77 / Transformer-Formal-Languages
  EMNLP 2020: On the Ability and Limitations of Transformers to Recognize Formal Languages
  ☆23Updated 4 years ago
• xuanlinli17 / autoregressive_inference
  Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)
  ☆12Updated last year
• timvieira / dyna-pi
  An interactive tool for analyzing, executing, and improving dynamic programming algorithms.
  ☆13Updated 9 months ago
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆50Updated last year
• april-tools / pixar
  Repository of PIXAR, a Pixel-based Auto-Regressive Language Model
  ☆11Updated 6 months ago
• ema-marconato / reasoning-shortcuts
  Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
  ☆19Updated last year
• ml-research / SLASH
  Scalable Neural-Probabilistic Answer Set Programming
  ☆17Updated 11 months ago
• UCLA-StarAI / Density-Estimation-Datasets
  A collection of commonly used datasets as benchmarks for density estimation
  ☆24Updated 5 years ago
• KareemYousrii / SPL
  This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers
  ☆27Updated last year
• ermongroup / HyperSPN
  PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021
  ☆13Updated 3 years ago
• EleMisi / VAEL
  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
  ☆20Updated last year
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆17Updated 3 years ago
• genlm / llamppl
  Probabilistic programming with large language models
  ☆116Updated last month
• Tractables / PressedJuice.jl
  Lossless compression using Probabilistic Circuits
  ☆16Updated 3 years ago
• bdusell / semiring-einsum
  Generic PyTorch implementation of einsum that supports different semirings
  ☆47Updated 9 months ago
• Tractables / ProbabilisticCircuits.jl
  Probabilistic Circuits from the Juice library
  ☆106Updated 11 months ago
• wellecks / naturalprover
  NaturalProver: Grounded Mathematical Proof Generation with Language Models
  ☆37Updated 2 years ago
• rycolab / prefix-parsing
  ☆14Updated last year
• mechanistic-interpretability-grokking / progress-measures-paper
  ☆64Updated 2 years ago
• braun-steven / simple-einet
  An implementation of EinsumNetworks in PyTorch.
  ☆21Updated 4 months ago
• ellisk42 / humanlike_fewshot_learning
  ☆28Updated last year
• jemisjoky / umps_code
  u-MPS implementation and experimentation code used in the paper Tensor Networks for Probabilistic Sequence Modeling (https://arxiv.org/ab…
  ☆19Updated 4 years ago
• HEmile / a-nesi
  A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
  ☆15Updated 3 months ago
• AlCorreia / cm-tpm
  Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models
  ☆12Updated 7 months ago
• ML-KULeuven / PySDD
  Python package for Sentential Decision Diagrams (SDD)
  ☆59Updated 2 months ago
• april-tools / cirkit
  a python framework to build, learn and reason about probabilistic circuits and tensor networks
  ☆95Updated 3 weeks ago
• aw31 / empirical-ntks
  Efficient empirical NTKs in PyTorch
  ☆18Updated 2 years ago