Alternatives and similar repositories for neural-statistician

Users that are interested in neural-statistician are comparing it to the libraries listed below

• rr-learning / disentanglement_dataset
  ☆79Updated 3 months ago
• CW-Huang / NAF
  Experiments for the Neural Autoregressive Flows paper
  ☆125Updated 4 years ago
• iffsid / disentangling-disentanglement
  ☆91Updated 6 years ago
• rosinality / igebm-pytorch
  Implicit Generation and Generalization in Energy Based Models in PyTorch
  ☆66Updated 6 years ago
• microsoft / deterministic-variational-inference
  Sample code for running deterministic variational inference to train Bayesian neural networks
  ☆100Updated 6 years ago
• riannevdberg / sylvester-flows
  ☆180Updated 6 years ago
• mingzhang-yin / SIVI
  A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…
  ☆54Updated 9 months ago
• AMLab-Amsterdam / FNP
  Implementation of the Functional Neural Process models
  ☆43Updated 5 years ago
• thjashin / gp-infer-net
  Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019
  ☆41Updated 2 years ago
• haoliuhl / hybrid-discriminative-generative
  Hybrid Discriminative-Generative Training via Contrastive Learning
  ☆75Updated 2 years ago
• alexalemi / vib_demo
  ☆91Updated 3 years ago
• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 5 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆84Updated 2 years ago
• ermongroup / f-EBM
  Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020
  ☆36Updated 2 years ago
• jmtomczak / vae_vampprior
  Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
  ☆231Updated 7 years ago
• anirudh9119 / RIMs
  Code for "Recurrent Independent Mechanisms"
  ☆118Updated 3 years ago
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆149Updated last year
• MichaelArbel / Scaled-MMD-GAN
  Scaled MMD GAN
  ☆36Updated 5 years ago
• thjashin / spectral-stein-grad
  Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)
  ☆33Updated 2 years ago
• reiinakano / invariant-risk-minimization
  Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
  ☆89Updated 5 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆189Updated 6 years ago
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆141Updated 4 years ago
• nvcuong / variational-continual-learning
  Implementation of the variational continual learning method
  ☆191Updated 6 years ago
• ritheshkumar95 / energy_based_generative_models
  PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models
  ☆152Updated 5 years ago
• xqding / Importance_Weighted_Autoencoders
  A PyTorch Implementation of the Importance Weighted Autoencoders
  ☆39Updated 6 years ago
• nicola-decao / BNAF
  Pytorch implementation of Block Neural Autoregressive Flow
  ☆181Updated 3 years ago
• wgrathwohl / LSD
  Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"
  ☆49Updated 5 years ago
• rdevon / cortex
  A machine learning library for PyTorch
  ☆93Updated 2 years ago
• prolearner / hypertorch
  ☆124Updated last year
• IBM / OoD
  Repository for theory and methods for Out-of-Distribution (OoD) generalization
  ☆63Updated 3 years ago