stefanradev93 / BayesFlow Star 285 Code Issues Pull requests A Python library for amortized Bayesian workflows using generative neural networks. deep-learning parameter-estimation bayesian-inference uncertainty-quantification likelihood-free model-comparison amortized-inference simulation-based invertible-networks Updated Jul 18, 2024 Python
larslorch / avici Star 49 Code Issues Pull requests Amortized Inference for Causal Structure Learning, NeurIPS 2022 transformers causality variational-inference causal-inference structure-learning amortized-inference causal-discovery Updated Mar 10, 2024 Python
ChunyuanLI / RAS Star 15 Code Issues Pull requests AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning reinforcement-learning adversarial-learning sampling-methods entropy-regularizer amortized-inference Updated Jan 21, 2019 Jupyter Notebook
jordandeklerk / Amortized-Bayes Star 0 Code Issues Pull requests Implementing Bayesian neural networks to close the amortization gap in VAEs in pytorch. artificial-intelligence variational-inference bayesian-statistics variational-autoencoder amortized-inference Updated Jun 25, 2024 Python