kahiniwadhawan Goto Github PK
Name: Kahini Wadhawan
Type: User
Company: IBM Research
Bio: Deep Learning, AI at IBM Research
Location: New York
Name: Kahini Wadhawan
Type: User
Company: IBM Research
Bio: Deep Learning, AI at IBM Research
Location: New York
FAST processing of BIG data
Word embeddings for biomedical data
Word Embeddings for Biomedical texts
Research code for auditing and exploring black box machine-learning models.
Reproducing Hu, et. al., ICML 2017's "Toward Controlled Generation of Text"
An application to detect Entity mentions in long texts such as Wikipedia and do computational analysis
Created for toolchain: https://console-regional.ng.bluemix.net/devops/toolchains/97f18842-5933-42e3-be13-fb8dd89e73b0
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Remove problematic gender bias from word embeddings.
Demos and tutorials around Torch7.
kahini wadhawan blog
Quiz Bowl Kaggle competition "When to Buzz" code. Figure out the right answer to trivia questions! The goal of this project is to predict whether the answer to a trivia question is correct or not.
Quiz Bowl- When They Buzz In-Class Kaggle project for Machine Learning course.
Batch download articles based on PMID (Pubmed ID)
learning reinforcement learning from tutorials
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
Data loaders and abstractions for text and NLP
utility code for doing deep nlp in torch
A series of machine learning tutorials for Torch7
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues (VHRED) - Implementation in Tensorflow
a tensorflow implementation of WGAN
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.
Word Embeddings for Biomedical texts
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.