anupsavvy's Stars
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
python/cpython
The Python programming language
adobe/brackets
An open source code editor for the web, written in JavaScript, HTML and CSS.
donnemartin/interactive-coding-challenges
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
checkcheckzz/system-design-interview
System design interview for IT companies
tensorflow/tfjs
A WebGL accelerated JavaScript library for training and deploying ML models.
tensorflow/tfjs-models
Pretrained models for TensorFlow.js
lmoroney/dlaicourse
Notebooks for learning deep learning
marqo-ai/marqo
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
uber/react-vis-force
d3-force graphs as React Components.
jllorencetti/pets
Pets is a Django-based website that allows people to share photos and information about missing pets and pets available for adoption
anupsavvy/Cluster_Analysis
This project is being done to determine improvement in search results by cluster analysis.
anupsavvy/EntityMiner
What does it do ? - For the detected terms in a text, this application will try to find relevant links from VIVO sites. It uses OpenCalais to find the terms and GWT to do Google site search. To use this tool, copy a news article into the text box below, keep the length of text between 400 - 1000 characters and select the VIVO site to find most probable links from that site. After you hit submit, the text in the text box should change with link tags and a dialogbox should appear with modified text. Best results will be achieved if news article is relevant to selected site. For instance, you could try an article from Cornell Chronicle and select VIVO Cornell to be the site from which links should be retrieved. Terms will only be highlighted if there exists a search result for the same (in selected site). Note: If no site is selected, raw google search will be done on detected terms in the text.
anupsavvy/Find-Partner
This is an attempt to build an Android application to find a compatible partner to play a sport.