bayesflow-org / bayesflow Star 403 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 Dec 20, 2024 Python
larslorch / avici Star 61 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
bayesflow-org / awesome-amortized-inference Star 24 Code Issues Pull requests This is a community-driven collection of resources around amortized inference. awesome bayesian-inference uncertainty-quantification inverse-problems awesome-lists amortized-inference Updated Nov 9, 2024 TeX
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 Oct 2, 2024 Python