sfeng15

Pinned Repositories

AI-Projects
Language:C++0 2 00
challenges
Coding Challenges
Language:Java0 2 00
challenges-1
A personal log of learning and solving problems
Language:Python00
confidence-elicitation
00
consul-client
Java Client for Consul HTTP API
Language:Java0 2 00
Data-Mining
Language:Jupyter Notebook00
data_mining_challenge_agora
Language:Python0 2 00
Distributed-Machine-learning-Markov-Random-Field
Language:C++00
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.
Language:Python8 2 02

sfeng15's Repositories

sfeng15/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.
Language:Python8 2 02
sfeng15/AI-Projects
Language:C++0 2 00
sfeng15/challenges
Coding Challenges
Language:Java0 2 00
sfeng15/challenges-1
A personal log of learning and solving problems
Language:Python00
sfeng15/confidence-elicitation
00
sfeng15/consul-client
Java Client for Consul HTTP API
Language:Java0 2 00
sfeng15/Data-Mining
Language:Jupyter Notebook00
sfeng15/data_mining_challenge_agora
Language:Python0 2 00
sfeng15/Distributed-Machine-learning-Markov-Random-Field
Language:C++00
sfeng15/Distributed-Markov-Random-Field-
2 0
sfeng15/Distributed-System-Projects
Language:C++
sfeng15/Hadoop-Projects
Language:Java
sfeng15/Human-Computer-Interaction-Web
Used D3 javascript to draw function plot
Language:HTML
sfeng15/ignite
Used Apache Ignite as DB. Web Service by Play Framework to allow CRUD operations.
Language:Java2 0
sfeng15/image_classification
Language:Python
sfeng15/kdd-cup-2013-author-paper-identification
sfeng15/keras
Deep Learning for humans
Language:Python
sfeng15/Keras-FlappyBird
Using Keras and Deep Q-Network to Play FlappyBird
Language:Python
sfeng15/models
Models built with TensorFlow
Language:Python
sfeng15/mp4
Language:CSS
sfeng15/mp4_MEANStackBackEnd
Language:JavaScript2 0
sfeng15/OTCR-project
sfeng15/rnn-tutorial-rnnlm
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Language:Jupyter Notebook
sfeng15/SB-Admin-BS4-Angular-4
Simple Dashboard Admin App built using Angular 4 and Bootstrap 4
Language:HTML4 0
sfeng15/speech-processing-machine-learning
sfeng15/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.
Language:CSS1
sfeng15/tensorflow
Computation using data flow graphs for scalable machine learning
Language:C++2 0
sfeng15/testAzureServiceBus
Language:C#
sfeng15/Uber-Web-Application
Language:Java
sfeng15/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.
Language:CSS1