Autoregressive Models Python Packages

causal-gpt-rl

Inference runtime for Causal GPT-RL policy bundles: decoder-only autoregressive transformers as RL agents.

loadcast

a tool for generating synthetic parameterized multi-energy industrial demand time series

cultivars

A modern computing library in python for providing vector autoregressions and other autoregressive economic models.

medlatents

Generative modelling of tokenized medical images: autoregressive, MaskGIT, diffusion, flow matching, and Bayesian flow.

seq2cause

seq2cause: Turns any discrete sequence of events into a causal graph using autoregressive models (LLaMA, GPT, RNN, Mamba).

pdebench

PDEBench: An Extensive Benchmark for Scientific Machine Learning

time-causal-vae

Time-causal financial generative models: refactored TC-VAE baselines with causal VQ/RVQ tokenizers, token priors, S&P500/VIX, Hawkes/SVMHJD, multi-dimensional benchmarks, and path-risk diagnostics.

spivae

Stochastic processes insights from VAE. Code for the paper: Learning minimal representations of stochastic processes with variational autoencoders.

aggressor

Ultra-minimal autoregressive diffusion model for image generation