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3dunetcnn

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

52things

52 Things You Should Know About Geocomputing

ace

Python package for performing the Alternating Conditional Expectation (ACE) regression

aind-capstone

Machine Translation with RNNs. This is the capstone project for the Udacity AI Nanodegree.

aind-vui-lab-voice-data

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

aps2020tutorial

Tutorial on image analysis with deep / machine learning for APS-2020 meeting in Denver

automatic-salt-deposits-segmentation

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome_time_series_in_python

This curated list contains python packages for time series analysis

bayesian-approach-predicting-well-production

Predicting oil production from horizontal wells using Bayesian hierarchical linear-regression

bayesian-changepoint-detection

High Frequency Time series Anomaly Detection using Online Bayesian Changepoint Detection Algorithm

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bayesian-online-changepoint-detection-for-multivariate-point-processes

Implementation of Log Gaussian Cox Process in Python for Changepoint Detection using GPFlow

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

bayesian_changepoint_detection

Methods to get the probability of a changepoint in a time series.

bdl-benchmarks

Bayesian Deep Learning Benchmarks

be-a-geoscience-detective

bookshelf

:books: books

change_point

coursera_discrete_optimization

Exact and meta-heuristic algorithms for NP problems

coursera_reinforcement_learning

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

da-rnn

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

data_science

datacamp

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learn-oil

Deep learning tools for predicting oil well data

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.