Ecosyste.ms: Packages

pytorch 7 density-estimation 7 machine-learning 6 generative-model 6 python 5 normalizing flows 5 deep-learning 4 inference 4 machine learning 3 mcmc 3 torch 3 prediction intervals 2 probabilistic modelling 2 uncertainty estimation 2 distributional-regression 2 gamlss 2 mixture-density-model 2 prediction-intervals 2 uncertainty-estimation 2 posterior 2 bayesian-inference 2 generative-models 2 sampling 2 normalizing flow 2 mixture density model 2 variational-inference 2 distributional regression 2 variational-autoencoder 2 neural-networks 2 probability 2 simulation-based-inference 2 jax 2 normalizing 2 density 2 probabilistic-models 1 probabilistic-circuits 1 vq-vae 1 stat 1 wasserstein-autoencoder 1 equinox 1 normalising-flows 1 robotics 1 sum-product-networks 1 vae-pytorch 1 benchmarking 1 vae-implementation 1 beta-vae 1 vae-gan 1 vae 1 comparison 1 reproducible-research 1 reproducibility 1 pixel-cnn 1 inverse-kinematics 1 variational-bayes 1 stan-models 1 stan 1 realnvp 1 rank-gaussian 1 pystan 1 iw-sampling 1 inference-algorithms 1 automatic-differentiation 1 autograd 1 computational-expensive-models 1 annealing 1 physics-based modeling 1 adaptive annealing 1 normalizig flow 1 variational inference 1 probabilistic-forecasting 1 lightgbm 1 normalising flows 1 nested-sampling 1 bilby 1 nested sampling 1 neural-network 1 monotonic 1 deep learning 1 generative 1 probabilistic-data-analysis 1 mcmc-sampler 1 general-purpose 1 cosmology-inference 1 cosmology 1 black-box-bayesian-inference 1 astrophysics 1 astronomy 1 xgboost 1 probabilistic-forecasts 1 multi-target-regression 1 multi-target regression 1 generative-adversarial-network 1 GAN 1 VAE 1 generative models 1 augmentation 1 synthetic data 1 mixture-density-networks 1 mdn 1