Starred repositories
The tools you use, and the way you approach learning can have a significant correlation with how much you get paid for your work as a data scientist.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Findings from Stackoverflow 2017
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
An Open Source Machine Learning Framework for Everyone
Learn to Code While Building Apps - The Complete Flutter Development Bootcamp
scikit-learn: machine learning in Python
[Example APPS] Basic Flutter apps, for flutter devs.
Ethereum.org is a primary online resource for the Ethereum community.
Flutter makes it easy and fast to build beautiful apps for mobile and beyond
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Flutter Gallery was a resource to help developers evaluate and use Flutter
Keras code and weights files for popular deep learning models.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A simple Python script showing how the backpropagation algorithm works.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.
A visual introduction to probability and statistics.
Synthetic Image generation with Flip. Generate thousands of new 2D images from a small batch of objects and backgrounds.
Read an Amazon wishlist programmatically with Python