april-tools / pixarLinks
Repository of PIXAR, a Pixel-based Auto-Regressive Language Model
☆11Updated 8 months ago
Alternatives and similar repositories for pixar
Users that are interested in pixar are comparing it to the libraries listed below
Sorting:
- a python framework to build, learn and reason about probabilistic circuits and tensor networks☆111Updated this week
- Scalable training and inference for Probabilistic Circuits☆69Updated this week
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆21Updated last year
- Squared Non-monotonic Probabilistic Circuits☆22Updated 6 months ago
- ☆19Updated 2 years ago
- Agustinus' very opiniated publication-ready plotting library☆67Updated 2 months ago
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Updated 3 years ago
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆30Updated last year
- An implementation of EinsumNetworks in PyTorch.☆21Updated last month
- Code for experiments on transformers using Markovian data.☆17Updated 7 months ago
- Stochastic Automatic Differentiation library for PyTorch.☆204Updated 10 months ago
- ☆52Updated last year
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 5 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆40Updated 2 months ago
- IVON optimizer for neural networks based on variational learning.☆68Updated 8 months ago
- This repository provides open-source code for sparse continuous distributions and corresponding Fenchel-Young losses.☆16Updated 2 years ago
- A Python Library for Deep Probabilistic Modeling☆61Updated 8 months ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- ☆15Updated 2 years ago
- Sketched matrix decompositions for PyTorch☆70Updated 2 weeks ago
- ☆18Updated 2 months ago
- ☆52Updated 2 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆51Updated last year
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆11Updated 9 months ago
- ☆70Updated 7 months ago
- Implementation of Nonparametric Hamiltonian Monte Carlo☆12Updated 2 years ago
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated last year
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated 2 years ago