Kelin Christi's Projects
machine learning and deep learning tutorials, articles and other resources
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Follow along to Meteor JS's official tutorial to understand it.
A project that explores performances of various Machine Learning algorithms
Developing an AutoEncoder architecture that trains on the well studied MNIST dataset and generates novel yet similar results from the original dataset.
Practice modularizing my code to better visualize data flow
Practice problems from glassdoor.com
An interactive book on deep learning, in concept and in MXNet
Implementing a neural stack in python based on this paper by google https://arxiv.org/pdf/1506.02516v3.pdf
:twisted_rightwards_arrows: Blocks to Javascript and Back Again
a node-red node for integration with amazon alexa skills
Node-RED in Heroku. A visual tool for wiring the Internet of Things.
The end off all your self-sign certificate woes (in node.js at least)
Practicing algorithms in Objective C
Alexa implementation of one bus away. Basic bus arrival search & response.
A natural language semantic parser
This is the code for the blog post
seamless and cloudless image mosaics from deep stacks of satellite imagery
Using Reinforcement learning to train an AI to become undefeatable
Combining satellite imagery and machine learning to predict poverty
Repository of my journey into tackling Natural Language Processing related projects.
Python Examples for Remote Sensing
Pytorch starter kit for Kaggle competitions
A collection of 290+ Python examples for using Google Earth Engine in QGIS
deep learning for aerial/satellite imagery
Learning the ReactiveCocoa framework.
Registration Form assignment for coding dojo
A sample responsive email template to build projects off of.
A simple application that gives a sense of various emotions in tweets