romilbansal Goto Github PK
Name: Romil Bansal
Type: User
Company: StorifyAI, LinkedIn
Bio: Developer by choice, ML Engineer by profession
Location: California, US
Name: Romil Bansal
Type: User
Company: StorifyAI, LinkedIn
Bio: Developer by choice, ML Engineer by profession
Location: California, US
Cassovary is a simple big graph processing library for the JVM
Entity Recognition and Disambiguation Challenge
A java project that can expand the short URLs from various sources and return the original long URL.
Flickr User Interface
Experimenting with different techniques, new and old to reach at a more semantically appealing hashtag segmentation.
Machine Learning / Natural Language Processing / Information Retrieval
A ported version of libsvm for Android jni environment
LikeLines: Timecode-level Feedback for Web Videos through User Interactions
Microposts Challenge 2014
mrec recommender systems library
Android Network Log Monitor
PDF Reader in JavaScript
A Learning to Rank Library
Code for reinforcement learning experiments I have been doing. PS: Some of the codes have be borrowed from other repos on github and have been modified for my use case
A collection of snippets for modeling user interest in Wikipedia
Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is an exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Models that explain the returns of individual stocks generally use company and stock characteristics, e.g., the market prices of financial instruments and companies’ accounting data. These characteristics can also be used to predict expected stock returns out-of-sample. Most studies use simple linear models to form these predictions [1] or [2]. An increasing body of academic literature documents that more sophisticated tools from the Machine Learning (ML) and Deep Learning (DL) repertoire, which allow for nonlinear predictor interactions, can improve the stock return forecasts [3], [4] or [5]. The main goal of this project is to investigate whether modern DL techniques can be utilized to more efficiently predict the movements of the stock market. Specifically, we train a LSTM neural network with time series price-volume data and compare its out-of-sample return predictability with the performance of a simple logistic regression (our baseline model).
This Project is predicting stocks for 32 companies with error less than 1% using LSTM Networks.
Realtime stock price prediction using Reinforcement Learning
A python script for summarizing articles using nltk
the basics of a Tinder-like swipeable cards interface based off of http://guti.in/articles/creating-tinder-like-animations/
This project contains some Hadoop code for working with the TREC Knowledge Base Acceleration dataset. In particular, it provides classes to read/write topic files, read/write run files, and expose the documents in the Thrift files as Hadoop-readable objects.
UW Twitter NLP Tools
Twitter-Demo Project
Graph drawing library for JavaScript
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.