artificial neural networksA collection of Methods and Models for various architectures of Artificial Neural Networks
Stars: ✭ 40 (-11.11%)
Mutual labels: variational-inference, probabilistic-models
BayesByHypernetCode for the paper Implicit Weight Uncertainty in Neural Networks
Stars: ✭ 63 (+40%)
Mutual labels: variational-inference
MMCAcovid19.jlMicroscopic Markov Chain Approach to model the spreading of COVID-19
Stars: ✭ 15 (-66.67%)
Mutual labels: probabilistic-models
SelSumAbstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.
Stars: ✭ 36 (-20%)
Mutual labels: variational-inference
vireoDemultiplexing pooled scRNA-seq data with or without genotype reference
Stars: ✭ 34 (-24.44%)
Mutual labels: variational-inference
PyLDAA Latent Dirichlet Allocation implementation in Python.
Stars: ✭ 51 (+13.33%)
Mutual labels: variational-inference
SIVIUsing neural network to build expressive hierarchical distribution; A variational method to accurately estimate posterior uncertainty; A fast and general method for Bayesian inference. (ICML 2018)
Stars: ✭ 49 (+8.89%)
Mutual labels: variational-inference
Machine Learning From ScratchMachine Learning models from scratch with a better visualisation
Stars: ✭ 15 (-66.67%)
Mutual labels: probabilistic-models
ReactiveMP.jlJulia package for automatic Bayesian inference on a factor graph with reactive message passing
Stars: ✭ 58 (+28.89%)
Mutual labels: variational-inference
rssRegression with Summary Statistics.
Stars: ✭ 42 (-6.67%)
Mutual labels: variational-inference
AI Learning HubAI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
Stars: ✭ 53 (+17.78%)
Mutual labels: variational-inference
ccubeBayesian mixture models for estimating and clustering cancer cell fractions
Stars: ✭ 23 (-48.89%)
Mutual labels: variational-inference
probnmn-clevrCode for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]
Stars: ✭ 63 (+40%)
Mutual labels: probabilistic-models
blangSDKBlang's software development kit
Stars: ✭ 21 (-53.33%)
Mutual labels: probabilistic-models
VINFRepository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
Stars: ✭ 23 (-48.89%)
Mutual labels: variational-inference
normalizing-flowsPyTorch implementation of normalizing flow models
Stars: ✭ 271 (+502.22%)
Mutual labels: variational-inference
adaptive-f-divergenceA tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"
Stars: ✭ 20 (-55.56%)
Mutual labels: variational-inference
mtaMulti-Touch Attribution
Stars: ✭ 60 (+33.33%)
Mutual labels: probabilistic-models
DUNCode for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Stars: ✭ 65 (+44.44%)
Mutual labels: variational-inference
active-inferenceA toy model of Friston's active inference in Tensorflow
Stars: ✭ 36 (-20%)
Mutual labels: variational-inference
