Autoregressive Models Python Packages

causal-gpt-rl

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

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.

pdebench

PDEBench: An Extensive Benchmark for Scientific Machine Learning

seq2cause

Sample- And Population-Level Causal Discovery from Event Sequences using Autoregressive Models

aggressor

Ultra-minimal autoregressive diffusion model for image generation

spivae

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