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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

auto_spectral_clustering

auto_spectral_clustering predicts number of clusters based on the eigengap.

bayesian-reasoning-machine-learning

Code and notes for "Bayesian Reasoning and Machine Learning

blackpig

blackpigg.github.io

causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

docker-stacks

Ready-to-run Docker images containing Jupyter applications

dowhy

DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

facerec

Implements face recognition algorithms for MATLAB/GNU Octave and Python.

image-processing

161216

logictensornetworks

Deep Learning and Logical Reasoning from Data and Knowledge

mcmtt_opticalflow

MCMTT using optical flow, tuning parameters

misvm

Multiple-Instance Support Vector Machines

movie_app_2021

React JS Fundamentals Course 2021

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rl_landmark_finder

Find landmark points on the face by RL method

rl_landmark_finder_scale_action

sktime

A unified toolbox for machine learning with time series