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pyro-ppl / pyro

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GPflow / GPflow

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Can we use type hints for our multiple dispatch?

jesnie
jesnie commented Feb 4, 2022

Feature request

In several places we use multiple dispatch. Right now the types to dispatch on are configured separately. Could we infer the types to dispatch on from Python type hints? That would simplify the code.

Motivation

Instead of:

@dispatch.expectation.register(Gaussian, kernels.Sum, InducingPoints, NoneType, NoneType)
def expectation_gaussian_sum_inducingpoints(
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JavierAntoran / Bayesian-Neural-Networks

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kumar-shridhar / PyTorch-BayesianCNN

Star 998

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

python pytorch bayesian-network image-recognition convolutional-neural-networks bayesian-inference bayes bayesian-networks variational-inference bayesian-statistics bayesian-neural-networks variational-bayes bayesian-deep-learning pytorch-cnn bayesian-convnets bayes-by-backprop aleatoric-uncertainties
  • Updated Feb 5, 2021
  • Python

omerbsezer / Generative_Models_Tutorial_with_Demo

Star 294

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

tutorial generative-adversarial-network dcgan generative-model gaussian-mixture-models auto-regressive-model gans bayesian-classifiers variational-inference tutorial-code variational-autoencoder cyclegan
  • Updated Jan 21, 2019
  • Jupyter Notebook

FranxYao / Deep-Generative-Models-for-Natural-Language-Processing

Star 287

DGMs for NLP. A roadmap.

natural-language-processing parsing decoding text-generation generative-text generative-model graphical-models mcmc language-model generative-adversarial-networks variational-inference markov-chain-monte-carlo latent-variable-models normalizing-flows structured-prediction discrete-structures generative-models variational-autoencoders approximate-inference gradient-estimation
  • Updated Feb 7, 2022

hoangcuong2011 / Good-Papers

Star 262

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

machine-learning natural-language-processing computer-vision deep-learning neural-network semi-supervised-learning convolutional-networks neural-machine-translation representation-learning gaussian-processes variational-inference kernel-learning variational-autoencoders deep-kernel-learning
  • Updated Jun 5, 2019

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