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04-police-shootings

awesome-open-geoscience

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

computer-vision

customizing-tensorflow-2

In this course you will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning models and workflows for any application. You will use lower level APIs in TensorFlow to develop complex model architectures, fully customised layers, and a flexible data workflow. You will also expand your knowledge of the TensorFlow APIs to include sequence models.

data-wrangling-challenge-2020

dca_using_rnn

Automatic Decline Curve Analysis Using a Deep RNN (Recurrent Neural Network).

dcawithets

Sandbox to do a Decline Curve Analysis method (A method to forecast production and calculate Remaining Reserves (RR) and Estimated Ultimate Recovery (EUR) with Error-Trend-Seasonality (ETS) Method

deep-learning-books

Some books machine learning, deep learning, and related topics. 一些机器学习、深度学习和相关话题的书籍。

deeplearning-models

A collection of various deep learning architectures, models, and tips

equivolve

For IO and toy codes to handle Equinor's Open Domain Volve Dataset

fuel_data_test

Electric Utilities report a huge amount of information to government and public agencies. They include very granular data on fuel burned, electricity generated, power plant usage patterns, plant capacity factors and emissions from greenhouse gases. However, this data is not well documented and sometimes they are provided in a format that makes it difficult to understand.

g02-sms-spam

geodatahandling

Python for Geoscientist - Digital Geoscience Data Handling using Python

hamoye-2

just

hamoye-stage-b-quiz

Hamoye Stage B Quiz

notebooks

IPython Notebooks

oil-and-gas-data-analysis

pandas-practice

predict

rcnn

Step-By-Step Implementation of R-CNN from scratch in python

recommender-model

seaborn-practice

stage-f-06-wine-tasting

This is an open source project for the stage E of the Hamoye Data Science Internship program, cohort 2020, with real life applications in the health, engineering, demography, education and technology.

tensorflow_job

tensorflowjob

toronto-location-data-

Segmenting and Clustering Neighborhoods in Toronto City. In this repo, you will learn how to convert addresses into their equivalent latitude and longitude values. Also, you will use the Foursquare API to explore neighborhoods in New York City. You will use the explore function to get the most common venue categories in each neighborhood, and then use this feature to group the neighborhoods into clusters. You will use the k-means clustering algorithm to complete this task. Finally, you will use the Folium library to visualize the neighborhoods in New York City and their emerging clusters

volve_ml

zindi-insurance

A classification problem on the probability of having insurance claim.