april-tools / pixar
Repository of PIXAR, a Pixel-based Auto-Regressive Language Model
☆11Updated 5 months ago
Alternatives and similar repositories for pixar:
Users that are interested in pixar are comparing it to the libraries listed below
- Squared Non-monotonic Probabilistic Circuits☆22Updated 3 months ago
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆27Updated last year
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆19Updated last year
- Scalable training and inference for Probabilistic Circuits☆58Updated this week
- ☆20Updated last year
- a python framework to build, learn and reason about probabilistic circuits and tensor networks☆92Updated this week
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated last year
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Updated 3 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- ☆31Updated last week
- An implementation of EinsumNetworks in PyTorch.☆21Updated 3 months ago
- CausalFlows: A library for Causal Normalizing Flows in Pytorch☆21Updated this week
- ☆52Updated last year
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated last year
- A collection of commonly used datasets as benchmarks for density estimation☆24Updated 5 years ago
- ☆34Updated 4 months ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆51Updated 9 months ago
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)☆12Updated last year
- ☆46Updated last year
- Code for the paper "Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression"☆21Updated last year
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆28Updated 3 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Updated 6 months ago
- ☆32Updated 6 months ago
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆105Updated last year
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆58Updated last year
- ☆18Updated last year
- ☆16Updated 7 months ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆21Updated 9 months ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆87Updated 3 years ago