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approximate-inference
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Open
Plotting Docs
willtebbutt
commented
Sep 1, 2019
The new plotting functionality, courtesy of @nathbo, it great. It's currently undocumented other than in the readme though. Would be good if a page could be added to the docs describing the API and giving a couple of basic usage examples.
Open
GPU Support
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DGMs for NLP paper list
natural-language-processing
parsing
text-generation
generative-text
generative-model
graphical-models
mcmc
generative-adversarial-networks
variational-inference
markov-chain-monte-carlo
latent-variable-models
normalizing-flows
structured-prediction
generative-models
variational-autoencoders
approximate-inference
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Jul 4, 2020
Bayesian coherent point drift for Windows 10
matching
kd-tree
outlier-detection
variational-inference
bayesian-statistics
shape-analysis
nystrom
approximate-inference
point-cloud-registration
shape-matching
coherent-point-drift
rigid-registration
non-rigid-registration
point-set-registration
shape-deformation
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Mar 22, 2020
Implementation of Sequential Attend, Infer, Repeat (SQAIR)
tracking
detection
motion
vae
generative
variational-inference
approximate-inference
representations-learning
sqair
vimco
iwae
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Apr 9, 2019 - Jupyter Notebook
Implementations of the ICML 2017 paper (with Yarin Gal)
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Dec 15, 2017 - Python
A curated list of resources about Machine Learning for Robotics
machine-learning
awesome
reinforcement-learning
deep-learning
robotics
deep-reinforcement-learning
awesome-list
curriculum-learning
approximate-inference
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Aug 26, 2019
A Python package for approximate Bayesian inference and optimization using Gaussian processes
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May 26, 2020 - Python
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
particle-filter
gaussian-processes
bayesian-optimization
stochastic-volatility-models
portfolio-analysis
approximate-bayesian-computation
approximate-inference
gaussian-process-optimisation
alpha-stable-processes
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Nov 29, 2017 - Python
Approximate Ridge Linear Mixed Models (arLMM)
linear-mixed-models
linear-mixed-effects-modelling
hierarchical-models
approximate-inference
low-rank-approximation
randomized-algorithm
approximate-algorithms
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Aug 3, 2019 - C
Benchmark of posterior and model inference algorithms for (moderately) expensive likelihoods.
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Jun 16, 2020 - MATLAB
Variational Bayesian decision-making for continuous utilities
machine-learning
decision-making
bayesian-inference
variational-inference
approximate-inference
pytorch-implementation
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Jan 23, 2020 - Jupyter Notebook
Probabilistic approach to neural nets - modern scalable approximate inference methods
expectation-propagation
variational-inference
bayesian-neural-networks
approximate-inference
monte-carlo-dropout
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Nov 14, 2019 - Jupyter Notebook
Correcting predictions for approximate Bayesian inference
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Jan 23, 2020 - Jupyter Notebook
ising-model
probabilistic-graphical-models
belief-propagation
approximate-inference
loopy-belief-propagation
loopy-bp
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May 27, 2020 - Python
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Apr 8, 2018 - Python
My undergraduate honours project, with others' private information/code removed.
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Sep 8, 2018 - OpenEdge ABL
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Hi @JavierAntoran @stratisMarkou,
First of all, thanks for making all of this code available - it's been great to look through!
Im currently spending some time trying to work through the Weight Uncertainty in Neural Networks in order to implement Bayes-by-Backprop. I was struggling to understand the difference between your implementation of `Bayes-by-Bac