Popular GitHub Repositories for Autoregressive Models

[NeurIPS 2024 Best Paper][GPT beats diffusion?] [scaling laws in visual generation?] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

Liquid: Language Models are Scalable and Unified Multi-modal Generators

High-performance Image Tokenizers for VAR and AR

A Unified Tokenizer for Visual Generation and Understanding

SSR-Speech: Towards Stable, Safe and Robust Zero-shot Speech Editing and Synthesis

An Efficient Text-to-Image Generation Pretrain Pipeline

Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)

Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series to benchmark datasets from different domains

Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021

PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023

Ultra-minimal autoregressive diffusion model for image generation

Symbolic music generation taking inspiration from NLP and human composition process

[ICLR 2025 Spotlight] LayerDAG: A Layerwise Autoregressive Diffusion Model of Directed Acyclic Graphs

Training methodologies for autoregressive neural operators/emulators in JAX.

This advanced framework integrates the benefits of an Autoencoder-generated embedding space with the adversarial training dynamics of GANs for time series generation..

This notebook shows a basic implementation of a transformer (decoder) architecture for image generation in TensorFlow 2.

Kaggle Kore 2022 - An autoregressive modeling approach to imitation learning