rcortx's repositories
handwritten-digit-extraction
Reading a handwritten number from an image
kaggle-fake-news
Baseline TFIDF solution to https://www.kaggle.com/c/fake-news/data
rbcorx.github.io
rbcorx is live.
CarND-Behavioral-Cloning-P3
Starting files for the Udacity CarND Behavioral Cloning Project
text-hamt-trie-keras
Compressed/adaptive multicore hamt (Hash Array Mapped Trie) and Keras text projects
algos
Algorithms and query parser
go
The Open Source Data Science Masters
py_cmd_interpret
'Plug and Play' easy command line arguments parser and compiler. Best used for manual parametric tuning of functions.
CarND-MPC-Project
CarND Term 2 Model Predictive Control (MPC) Project
CarND-Unscented-Kalman-Filter-Project
Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project
CarND-Extended-Kalman-Filter-Project
Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project
CarND-MPC-Project-1
Sampled Data Nonlinear Model Predictive Control for steering a car in a simulator. Takes actuator delays into account.
CarND-Vehicle-Detection
Vehicle Detection Project
CarND-Traffic-Sign-Classifier-Project
Classify Traffic Signs.
CarND-Kidnapped-Vehicle-Project-1
My solution to the Udacity Self-Driving Car Engineer Nanodegree Kidnapped Vehicle project.
CarND-PID-Control-Project-1
PID controller acting on the steering angle of a car in order to autonomously drive it on a simulator.
django-utils
Utility functions for django
sdnd-project-1
Self Driving nanodegree udacity project 1 lane lines
py-lambda-auth-server
A REST auth microservice in python for AWS Lambda
django-products-app
Demo app on django which lists products
php-img-upload-service
A fast, pain-free service for uploading images through REST API in multiple calls separate from the other data (eg: product details)
text-analytics-with-python
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, "Text Analytics with Python" published by Apress (part of Springer Science+Business Media).