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pyfm

Factorization machines in python

pytext4mon

Deep-learning based NLP for Mongolian

python-string-similarity

A library implementing different string similarity and distance measures using Python.

python_product_category_classification

Python product category classification

python_tutorial

python tutorial

pytools

Toy

pytorch-cyclegan

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

pytorch-dc-tts

Text to Speech with PyTorch (English and Mongolian)

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

pytorch-texturegan

TextureGAN in Pytorch

pytorch-unet

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

pytorch_fast_style_transfer

Pytorch implementent of the fast style transfer paper "Perceptual Losses for Real-Time Style Transfer and Super-Resolution".

question-classification

Classifies a question text in five categories: when, what, who, assertion and unknown.

rabbiteye-exp

Machine learning experiments at Questionmark

rankingfeatureselection

Feature selection algorithms for learning to rank

recommendation-system-examples

recommendations

MATLAB code based on "Making Recommendations" chapter of "Collective Intelligence" book by Toby Segaran

relieff

Implementations of the Relief family of feature selection algorithms.

research-paper-categorization

Research paper classification using machine learning and NLP

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

sbr

:hourglass: Improved Representation Learning for Session-based Recommendation

schema

A Python implementation of SCHEMA - An Algorithm for Automated Product Taxonomy Mapping in E-commerce.

scikit-and-tensorflow-workbooks

based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)

scikit-feature

open-source feature selection repository in python (DMML Lab@ASU)

scikit-learn

scikit-learn: machine learning in Python

scikit-neuralnetwork

Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.

scikit-rebate

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

scribble-stadium-ds

search-tfidf-word2vec-poc

Playing with tf-idf / word2vec