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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
153 commits to master branch, last one 2 years 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 2 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
16,681 commits to develop branch, last one 4 days ago
A python tutorial on bayesian modeling techniques (PyMC3)
Created
2015-09-10
67 commits to master branch, last one 7 years ago
Bayesian inference with probabilistic programming.
Created
2016-04-29
3,362 commits to master branch, last one 20 hours 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 about a year ago
PyMC educational resources
Created
2017-11-13
409 commits to main branch, last one 23 days ago
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Created
2020-01-07
918 commits to dev branch, last one 2 months ago
Gaussian processes in TensorFlow
Created
2016-01-14
2,450 commits to develop branch, last one 13 days ago
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
Created
2014-08-22
557 commits to master branch, last one 12 hours ago
Statistical package in Python based on Pandas
Created
2018-04-01
1,252 commits to main branch, last one about a month 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 3 years ago
RStan, the R interface to Stan
Created
2013-05-22
3,808 commits to develop branch, last one 4 months ago
Code for modelling estimated deaths and cases for COVID19.
Created
2020-03-26
273 commits to master branch, last one 3 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 2 years ago
How to do Bayesian statistical modelling using numpy and PyMC3
Created
2018-02-01
262 commits to master branch, last one about a year ago
A collection of Bayesian data analysis recipes using PyMC3
Created
2017-03-05
121 commits to master branch, last one 3 years ago
Statistical Rethinking (2nd ed.) with NumPyro
Created
2019-10-27
145 commits to master branch, last one 4 months ago
Probabilistic programming via source rewriting
Created
2017-12-31
1,078 commits to master branch, last one about a year ago
rstanarm R package for Bayesian applied regression modeling
Created
2013-07-16
3,301 commits to master branch, last one a day ago
This repository holds slides and code for a full Bayesian statistics graduate course.
Created
2022-04-08
127 commits to main branch, last one 12 days ago
A probabilistic programming language
Created
2014-12-19
6,779 commits to master branch, last one 2 years ago
Tidy data frames and expressions with statistical summaries 📜
Created
2019-08-01
570 commits to main branch, last one 9 days ago
Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)
Created
2017-04-13
162 commits to gh-pages branch, last one 2 years ago
Statistical Rethinking (2nd Ed) with Tensorflow Probability
Created
2020-01-14
120 commits to master branch, last one 2 years ago
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Created
2020-02-04
1,975 commits to main branch, last one 17 hours ago
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Created
2017-06-08
374 commits to master branch, last one 7 months 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 11 months ago
shinystan R package and ShinyStan GUI
Created
2015-02-25
892 commits to master branch, last one about a year ago
A Bayesian Analysis Toolkit in Julia
Created
2017-04-21
1,126 commits to main branch, last one 9 days ago