andrup Goto Github PK
Name: André
Type: User
Name: André
Type: User
A simple Dialogflow agent, a server, and a web interface that show an approach for handling text-based conversations between a Dialogflow agent and a human operator
Design pattern for critical stages in the development process of an AI Stock Trading Bot
A custom Android View for drawing smooth signatures
Extensive Open-Source Guides for Android Developers
Scenarios, tutorials and demos for Autonomous Driving
Starting files for the Udacity CarND Behavioral Cloning Project
Lane Finding Project for Self-Driving Car ND
Classify Traffic Signs.
Vehicle Detection Project
Predicting the stock market with sentiment analysis and LSTM techniques
Android examples from the vogella.com website
Data Science Using Python
MIT Deep Learning Book in PDF format
Basic face recognizer which can identify the face of the person(s) showing on a web cam.
The world's simplest facial recognition api for Python and the command line
For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
machine learning and deep learning tutorials, articles and other resources
Lane Detection with Deep Learning - My Capstone project for Udacity's ML Nanodegree
Classify news into categories based on headline.
NLP projects
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
A PyTorch implementation of the YOLO v3 object detection algorithm
Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka
Data and Notebook for the Stock Price Prediction Tutorial
TensorFlow Tutorial and Examples for beginners
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.