sainiudit Goto Github PK
Name: udit saini
Type: User
Company: PayPal
Bio: Data Scientist
Location: Bengluru
Name: udit saini
Type: User
Company: PayPal
Bio: Data Scientist
Location: Bengluru
🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
PyTorch Tutorial for Deep Learning Researchers
PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)
Python Implementations of Word Sense Disambiguation (WSD) Technologies.
Quotes generating bot
turn natural language into structured data
Interactive JS Charts from R
rCharts implementation of d3 sankey plugin
A methodology to assess the Real Impact of funds on social and environmental issues.
"The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more 🏅
This is a dataset of the all-time top 1,000 posts, from the top 2,500 subreddits by subscribers, pulled from reddit between August 15–20, 2013.
Reformer, the efficient Transformer, in Pytorch
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Unsupervised Deep Learning and Representation Learning Tutorial
The purpose of this project was to defeat the current Application Tracking System used by most of the organization to filter out resumes. In order to achieve this goal I had to come up with a universal score which can help the applicant understand the current status of the match. The following steps were undertaken for this project 1) Job Descriptions were collected from Glass Door Web Site using Selenium as other scrappers failed 2) PDF resume parsing using PDF Miner 3) Creating a vector representation of each Job Description - Used word2Vec to create the vector in 300-dimensional vector space with each document represented as a list of word vectors 4) Given each word its required weights to counter few Job Description specific words to be dealt with - Used TFIDF score to get the word weights. 5) Important skill related words were given higher weights and overall mean of each Job description was obtained using the product for word vector and its TFIDF scores 6) Cosine Similarity was used get the similarities of the Job Description and the Resume 7) Various Natural Language Processing Techniques were identified to suggest on the improvements in the resume that could help increase the match score
Interactive Maps from R
Python code for Leetcode
Python implementation of the rulefit algorithm
This project employs a non-negative matrix factorization model (NMF) to cluster the companies comprising the FTSE Russell 2000 Index into industry groups based upon the text used in their annual reports.
scikit-learn: machine learning in Python
Applied Machine Learning in Python with scikit-learn
Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015
Scrapy, a fast high-level web crawling & scraping framework for Python.
Clean personally identifiable information from dirty dirty text.
This repository contains machine readable (xml) search queries (crafted from a controlled vocabulary), for the Scopus publication database, to find domain specific research output that are related to the 17 Sustainable Development Goals (SDGs). We invite enyone to improve the SDG queries further in a co-creation process.
Coveo Search UI framework
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.