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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), ar…
The "Python Machine Learning (1st edition)" book code repository and info resource
Kubernetes community content
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
The Udacity open source self-driving car project
TensorFlow Basic Tutorial Labs
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Te…
Tutorials and implementations for "Self-normalizing networks"
Tutorials for DataCamp (www.datacamp.com)
A template for small scientific python projects
Starter files for Pluralsight course: Understanding Machine Learning with Python
Repository for storing and tracking my self-study progress.
This repository contains the material for deploying deep learning models on mobile and embedded platforms
A Sentimental Analysis model trained on IMDb dataset, using Bag of words model(tokenisation)