Alternatives and similar repositories for pixar

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

• april-tools / cirkit
  a python framework to build, learn and reason about probabilistic circuits and tensor networks
  ☆122Updated last month
• EleMisi / VAEL
  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
  ☆22Updated 2 years ago
• ermongroup / HyperSPN
  PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021
  ☆13Updated 4 years ago
• braun-steven / simple-einet
  An implementation of EinsumNetworks in PyTorch.
  ☆23Updated 5 months ago
• AlCorreia / cm-tpm
  Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models
  ☆11Updated last year
• KareemYousrii / SPL
  This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers
  ☆30Updated last year
• april-tools / squared-npcs
  Squared Non-monotonic Probabilistic Circuits
  ☆23Updated 9 months ago
• andres-fr / skerch
  Sketched linear operations for PyTorch
  ☆96Updated last week
• cambridge-mlg / EinsumNetworks
  ☆53Updated 2 years ago
• ema-marconato / reasoning-shortcuts
  Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
  ☆22Updated last year
• HEmile / storchastic
  Stochastic Automatic Differentiation library for PyTorch.
  ☆208Updated last year
• Tractables / pyjuice
  Scalable training and inference for Probabilistic Circuits
  ☆86Updated this week
• UCLA-StarAI / GeLaTo
  ☆21Updated 2 years ago
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆17Updated 4 years ago
• mansheej / icl-task-diversity
  Code for the paper "Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression"
  ☆23Updated 2 years ago
• ejmichaud / grokking-squared
  ☆27Updated 2 years ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆69Updated 5 months ago
• joneswack / dp-rfs
  This repository contains PyTorch implementations of various random feature maps for dot product kernels.
  ☆22Updated last year
• JmlrOrg / jmlr-style-file
  LaTeX style file for the Journal of Machine Learning Research
  ☆156Updated last year
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆19Updated 4 years ago
• eberharf / cfl
  ☆19Updated 5 months ago
• baumgach / tue-slurm-helloworld
  Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container
  ☆33Updated 2 years ago
• RobertCsordas / onion_representations
  ☆11Updated 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 5 years ago
• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated 2 years ago
• aadityasingh / icl-dynamics
  ☆22Updated 6 months ago
• AndPotap / einsum-search
  ☆33Updated last year
• joshuacnf / paradox-learning2reason
  ☆36Updated 10 months ago
• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆106Updated last year
• cambridge-mlg / RAT-SPN
  Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning
  ☆37Updated 5 years ago