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pytorch-pretrained-biggan

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorchavitm

PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)

pywsd

Python Implementations of Word Sense Disambiguation (WSD) Technologies.

quora_codebase

quote-me-ai

Quotes generating bot

rasa_nlu

turn natural language into structured data

rcharts

Interactive JS Charts from R

rcharts_d3_sankey

rCharts implementation of d3 sankey plugin

real-impact-tracker-methodology

A methodology to assess the Real Impact of funds on social and environmental issues.

realworld

"The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more 🏅

reddit-top-2.5-million

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-pytorch

Reformer, the efficient Transformer, in Pytorch

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

repo-2017

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

representation-learning

Unsupervised Deep Learning and Representation Learning Tutorial

resume-job-description-matching

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

rmaps

Interactive Maps from R

rui_python_leetcode

Python code for Leetcode

rulefit

Python implementation of the rulefit algorithm

russell2000_nmf

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

scikit-learn: machine learning in Python

scikit-learn-tutorial

Applied Machine Learning in Python with scikit-learn

scipy2015-blaze-bokeh

Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015

scraperwiki-scraper-vault

scrapy

Scrapy, a fast high-level web crawling & scraping framework for Python.

scrapy_uiuc

scrubadub

Clean personally identifiable information from dirty dirty text.

sdg-queries

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.

search-ui

Coveo Search UI framework