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Name: Jatin Khilnani
Type: User
Name: Jatin Khilnani
Type: User
2019/05/07 Lab session for Deep learning
Restoring ancient text using deep learning: a case study on Greek epigraphy.
Repo supporting data science team interview exams.
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
Quickly look up 4-letter bird alpha codes
Source code for Gramps Genealogical program
Mesa is an agent-based modeling framework in Python
A library for augmenting annotated audio data
Minicourse in Deep Learning with PyTorch
Content aggregators collect content from across the web in order to attract internet traffic, creating revenue through advertisements. These aggregator websites compete to identify viral content early to maximize their share of the internet traffic. This project focused on analyzing real-time post data from Reddit, a collection of re-posts and original content, to identify posts that would become viral. The problem was framed as a binary classification problem where a viral Reddit post had a score equal or greater than 3656. In order to predict posts which posts will become viral, logistic regression and random forest models were run on Reddit submission data obtained from several days of continuously scraping data. In addition to hyperparameter tuning and feature engineering, one hot encoding using character-embedding was stacked onto the classification models to further improve model performance. The models provide reliable predictions of potentially viral posts, laying the foundation for building a robust and computationally-efficient pipeline in a real business setting.
speaker diarization by uis-rnn and speaker embedding by vgg-speaker-recognition
The comma.ai Speed Prediction Challenge!
Materials for the lab component of DS-GA 1015 Text-as-Data (Spring 2019).
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.