Ellen Brock's repositories
A-First-Course-on-Deep-Learning-Notes
Disclaimer: This is the detailed notes for PadhAI onefourthlabs course “A First Course on Deep Learning".
awesome-computer-vision
A curated list of awesome computer vision resources
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-deep-vision
A curated list of deep learning resources for computer vision
awesome-satellite-imagery-datasets
List of satellite imagery datasets with annotations for computer vision and deep learning
awesome-sentinel
curated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellite data
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
CS231n-2017-Summary
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
Data-science-best-resources
Carefully curated resource links for data science in one place
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
earthengine-apps
A collection of Earth Engine Apps created using geemap, voila, and heroku
earthengine-py-notebooks
A collection of 300+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
gee_tools
Google Earth Engine Tools (scripts)
geemap-apps
Interactive web apps created using geemap and streamlit
How-to-learn-Deep-Learning
A top-down, practical guide to learn AI, Deep learning and Machine Learning.
Image-Processing-in-Python
Play around with Pixel in Python
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
laika
Experiments with satellite image data
Machine-Learning-Links-And-Lessons-Learned
List of all the lessons learned, best practices, and links from my time studying machine learning
ml_drought
Machine learning to better predict and understand drought. Moving github.com/ml-clim
satellite-image-deep-learning
Resources for performing deep learning on satellite imagery
solara-geemap
An Earth Engine web app developed using Solara and geemap
stat479-machine-learning-fs18
Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
tf-workshop-series-fall17
Fall 2017 edition of Tensorflow Workshop Series