duttasaibal Goto Github PK
Name: Saibal
Type: User
Name: Saibal
Type: User
Course: Applied Machine Learning
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! π)
A list of awesome and proven Artificial Intelligence use cases and applications
chatbot_ner: Named Entity Recognition for chatbots.
λ₯λ¬λ-μμμΈμ CAMP 10μ£Ό κ³Όμ μ μν TensorFlow μ½λλ€
Inspired by Hillebrand & Medeiros (2009) and Corsi (2009), I put neural networks in a High frequency environment, and tested the performance of the two models (HAR & Neural Networks). - The data used in this project is 2 years worth of intraday 5-minute realized volatility (See: Sheppard, Patton, Liu, 2012) from 20 Dow Jones stocks, that has been scrutinized using bivariate analysis and manipulation into a single dimension.
A collection of notebooks for Natural Language Processing from NLP Town
Code examples for pyFTS
Repository for Programming Assignment 2 for R Programming on Coursera
Diving into PyImageSearch
Tutorials on using encoder decoder architecture for time series forecasting
This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!
An entry to kaggle's 'Sentiment Analysis on Movie Reviews' competition
:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.
SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time
Stock Price Prediction using Machine Learning Techniques
Time series forecasting
Hello world univariate examples for a variety of time series packages.
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.