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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 6 months ago
Fast, flexible and easy to use probabilistic modelling in Python.
Created
2014-11-24
996 commits to master branch, last one 2 months ago
LibRec: A Leading Java Library for Recommender Systems, see
Created
2014-01-09
1,112 commits to 3.0.0 branch, last one 2 years ago
Bayesian inference with probabilistic programming.
Created
2016-04-29
3,422 commits to main branch, last one 13 days ago
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Created
2016-08-15
59 commits to master branch, last one 12 months ago
Sample code for the Model-Based Machine Learning book.
Created
2019-03-04
18 commits to main branch, last one 4 years ago
A domain-specific probabilistic programming language for scalable Bayesian data cleaning
Created
2019-09-30
22 commits to master branch, last one 2 years ago
This repo is a curated library to help you achieve a deeper understanding of what drives success and continuous improvement. Dive in, and discover content that can expand your thinking, sharpen your e...
Created
2016-12-20
198 commits to master branch, last one about a year ago
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
Created
2018-06-27
2,275 commits to master branch, last one about a year ago
🌲 Stanford CS 228 - Probabilistic Graphical Models
Created
2018-12-26
50 commits to master branch, last one 7 months ago
High-performance reactive message-passing based Bayesian inference engine
Created
2019-12-23
3,625 commits to main branch, last one 14 days ago
Inference of microbial interaction networks from large-scale heterogeneous abundance data
Created
2017-03-06
418 commits to master branch, last one 10 months ago
PyHGF: A neural network library for predictive coding
Created
2020-11-14
444 commits to master branch, last one 18 days ago
scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics
Created
2022-03-15
395 commits to main branch, last one 8 months ago
This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).
xai
cpp20
python
python3
causality
causal-models
credal-network
explainable-ai
markov-network
bayesian-network
causal-inference
influence-diagram
parallel-algorithm
structural-learning
statistical-learning
artificial-intelligence
probabilistic-inference
probabilistic-classifiers
machine-learning-algorithms
probabilistic-graphical-models
Created
2022-05-15
6,133 commits to master branch, last one 23 days ago