14 results found Sort:

kmario23
deep-learning-drizzle kmario23
2.9k
12.3k
unknown
608
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
probability optimization deep-learning explainable-ai computer-vision medical-imaging machine-learning speech-recognition visual-recognition bayesian-statistics pattern-recognition deep-neural-networks graph-neural-networks reinforcement-learning geometric-deep-learning artificial-neural-networks deep-reinforcement-learning natural-language-processing probabilistic-graphical-models artificial-intelligence-algorithms
Created 2018-11-26
154 commits to master branch, last one about a month ago
jmschrei
pomegranate jmschrei
590
3.4k
mit
95
Fast, flexible and easy to use probabilistic modelling in Python.
python pytorch machine-learning probabilistic-graphical-models
Created 2014-11-24
995 commits to master branch, last one about a month ago
guoguibing
librec guoguibing
1.0k
3.2k
other
234
LibRec: A Leading Java Library for Recommender Systems, see
java matrix sparse tensor systems filtering recommender collaborative factorization recommender-systems matrix-factorization tensor-factorization collaborative-filtering recommendation-algorithms probabilistic-graphical-models
Created 2014-01-09
1,112 commits to 3.0.0 branch, last one 2 years ago
TuringLang
Turing.jl TuringLang
219
2.0k
mit
50
Bayesian inference with probabilistic programming.
hmc mcmc turing hacktoberfest julia-language machine-learning bayesian-inference bayesian-statistics probabilistic-models artificial-intelligence hamiltonian-monte-carlo probabilistic-inference bayesian-neural-networks probabilistic-programming probabilistic-graphical-models
Created 2016-04-29
3,392 commits to master branch, last one 13 days ago
jaanli
variational-autoencoder jaanli
256
1.2k
mit
33
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
vae deep pytorch learning tensorflow deep-learning machine-learning deep-neural-networks unsupervised-learning variational-inference variational-autoencoder autoregressive-neural-networks probabilistic-graphical-models
Created 2016-08-15
59 commits to master branch, last one 7 months ago
dotnet
mbmlbook dotnet
82
288
mit
33
Sample code for the Model-Based Machine Learning book.
machine-learning probabilistic-models probabilistic-programming probabilistic-graphical-models
Created 2019-03-04
18 commits to main branch, last one 3 years ago
probcomp
PClean probcomp
32
217
unknown
22
A domain-specific probabilistic programming language for scalable Bayesian data cleaning
data-cleaning data-cleansing bayesian-inference probabilistic-programming probabilistic-graphical-models
Created 2019-09-30
22 commits to master branch, last one 2 years ago
hao-lh
the-books-making-you-better hao-lh
22
175
unknown
3
A list of time-lasting classic books, which not only help you figure out how it works, but also grasp when it works and why it works in that way.
deep-learning linear-algebra computer-vision machine-learning bayesian-inference statistical-learning computer-architecture reinforcement-learning high-performance-computing probabilistic-graphical-models
Created 2016-12-20
198 commits to master branch, last one 10 months ago
biaslab
ForneyLab.jl biaslab
33
150
mit
15
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
factor-graph bayesian-methods machine-learning state-space-models probabilistic-programming probabilistic-graphical-models
Created 2018-06-27
2,275 commits to master branch, last one about a year ago
ReactiveBayes
ReactiveMP.jl ReactiveBayes
14
109
mit
13
High-performance reactive message-passing based Bayesian inference engine
julia inference message-passing variational-bayes bayesian-inference variational-inference probabilistic-programming probabilistic-graphical-models
Created 2019-12-23
3,406 commits to main branch, last one 6 days ago
florist-notes
CS228_PGM florist-notes
33
106
unknown
3
🌲 Stanford CS 228 - Probabilistic Graphical Models
cs228 bayesian stanford-university markov-decision-processes probabilistic-graphical-models
Created 2018-12-26
50 commits to master branch, last one 2 months ago
meringlab
FlashWeave.jl meringlab
8
74
other
7
Inference of microbial interaction networks from large-scale heterogeneous abundance data
julia metadata microbiome co-occurence metagenomics bioinformatics compositional-data ecological-network high-performance-computing probabilistic-graphical-models
Created 2017-03-06
418 commits to master branch, last one 5 months ago
ilabcode
pyhgf ilabcode
17
56
gpl-3.0
3
PyHGF: A neural network library for predictive coding
jax bayesian-filter neural-networks active-inference predictive-coding state-space-model bayesian-inference belief-propagation graph-neural-networks reinforcement-learning computational-psychiatry hierarchical-gaussian-filter probabilistic-graphical-models
Created 2020-11-14
412 commits to master branch, last one 9 days ago
Novartis
scar Novartis
5
50
unknown
8
scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics
pytorch cite-seq crispr-screen generative-model machine-learning denoising-algorithm single-cell-rna-seq variational-autoencoder probabilistic-graphical-models
Created 2022-03-15
395 commits to main branch, last one 3 months ago