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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 5 months ago
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers...
Created
2021-09-30
70 commits to main branch, last one 3 years ago
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Created
2013-02-06
16,962 commits to develop branch, last one 2 days ago
A python tutorial on bayesian modeling techniques (PyMC3)
Created
2015-09-10
67 commits to master branch, last one 7 years ago
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
Created
2018-11-23
303 commits to master branch, last one 2 years ago
Bayesian inference with probabilistic programming.
Created
2016-04-29
3,422 commits to main branch, last one 2 days ago
PyMC educational resources
Created
2017-11-13
411 commits to main branch, last one 3 months ago
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Created
2020-01-07
927 commits to dev branch, last one 9 months ago
Text and code for the second edition of Think Bayes, by Allen Downey.
Created
2014-08-22
577 commits to master branch, last one 3 months ago
Gaussian processes in TensorFlow
Created
2016-01-14
2,452 commits to develop branch, last one 2 months ago
Statistical package in Python based on Pandas
Created
2018-04-01
1,264 commits to main branch, last one 27 days ago
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
bayes
python
pytorch
pytorch-cnn
bayesian-network
bayes-by-backprop
bayesian-convnets
bayesian-networks
image-recognition
variational-bayes
bayesian-inference
bayesian-statistics
variational-inference
bayesian-deep-learning
aleatoric-uncertainties
bayesian-neural-networks
convolutional-neural-networks
Created
2018-07-27
308 commits to master branch, last one 4 years ago
BAyesian Model-Building Interface (Bambi) in Python.
Created
2016-05-16
838 commits to main branch, last one about a month ago
RStan, the R interface to Stan
Created
2013-05-22
3,950 commits to develop branch, last one 2 days ago
Code for modelling estimated deaths and cases for COVID19.
Created
2020-03-26
273 commits to master branch, last one 4 years ago
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Created
2017-11-06
141 commits to master branch, last one 3 years ago
How to do Bayesian statistical modelling using numpy and PyMC3
Created
2018-02-01
262 commits to master branch, last one 2 years ago
A collection of Bayesian data analysis recipes using PyMC3
Created
2017-03-05
121 commits to master branch, last one 4 years ago
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine...
Created
2023-05-02
88 commits to main branch, last one about a year ago
This repository has no description...
Created
2022-01-03
55 commits to main branch, last one about a year ago
Statistical Rethinking (2nd ed.) with NumPyro
Created
2019-10-27
145 commits to master branch, last one about a year ago
Probabilistic programming via source rewriting
Created
2017-12-31
1,078 commits to master branch, last one 2 years ago
rstanarm R package for Bayesian applied regression modeling
Created
2013-07-16
3,301 commits to master branch, last one 9 months ago
Bayesian statistics graduate course
This repository has been archived
(exclude archived)
Created
2022-04-08
141 commits to main branch, last one 5 months ago
Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)
Created
2017-04-13
166 commits to gh-pages branch, last one 7 months ago
A probabilistic programming language
Created
2014-12-19
6,779 commits to master branch, last one 3 years ago
Tidy data frames and expressions with statistical summaries 📜
Created
2019-08-01
596 commits to main branch, last one 4 days ago
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Created
2020-02-04
2,171 commits to main branch, last one 3 months ago
Statistical Rethinking (2nd Ed) with Tensorflow Probability
Created
2020-01-14
120 commits to master branch, last one 3 years ago
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Created
2017-06-08
394 commits to master branch, last one 2 months ago