sfeng15's repositories
Machine-Learning
Implemented Naïve Bayes, Support Vector Machines, Random Forests to classify faces and documents and achieved 92% average accuracy using R and Python. Implemented EM algorithms to segment images in Python. Used TensorFlow framework to implement Convolution Neural Networks to recognize hand written digits from MNIST datasets and images from famous Cifar 10 datasets.
challenges
Coding Challenges
challenges-1
A personal log of learning and solving problems
consul-client
Java Client for Consul HTTP API
Human-Computer-Interaction-Web
Used D3 javascript to draw function plot
keras
Deep Learning for humans
Keras-FlappyBird
Using Keras and Deep Q-Network to Play FlappyBird
models
Models built with TensorFlow
rnn-tutorial-rnnlm
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
SB-Admin-BS4-Angular-4
Simple Dashboard Admin App built using Angular 4 and Bootstrap 4
StyleUp
Users can browse the others' fashion collections through our website. Users can then save their favorites and consult owners for ideas of fashion. The website is built with MEAN stack (Node.js, Express, AngularJS and MongoDB) and has REST API. We used Npm and Bower as package manager and Balsamiq as the Mockup tool.
tensorflow
Computation using data flow graphs for scalable machine learning
Website_Learning_Foreign_Language
A website to help English speakers to learn Russian. Built by Flask in the back-end, BootStrap, JQuery in the front-end. Designed a Python crawler to extract information dynamically generated by Javascript.