ssanbu08 Goto Github PK

docker-course-xgboost

Materials for an online-course - "Practical XGBoost in Python"

docker-images

Repository of Docker images created by Continuum Analytics

document-clustering

Different clustering approaches on text data

dsa

Data Structures and Algorithms

effective-java-examples

Source code to the book "Effective Java Second Edition" created by Joshua Bloch

elastic4ir

Resources and documentation for using Elastic for Information Retrieval

exploring-r

Using r For Various Dat Analysis tasks

fast_align

Simple, fast unsupervised word aligner

fastai

The fastai deep learning library, plus lessons and and tutorials

freebase-triples

A methodology to process triples data from the Freebase data dumps.

frequent-item-set-mining

Apriori algorithm implementation

geo-services.scikit-learn

Geo-Located Data: Extracting Patterns from Mobile Data using Scikit-Learn and Cassandra

geo-spatial-clustering

Perform different clustering techniques on Geo-Spatial Dataset to study the effectiveness of diifrent algorithms

glove

GloVe model for distributed word representation

gowalla-spark-demo

Clustering Checkins with Spark

grobid

A machine learning software for extracting information from scholarly documents

health-search-tutorial

hmm

Python Hidden Markov Models framework

introduction-to-github

list_of_recommender_systems

A List of Recommender Systems and Resources

lsa_classification

Text classification example in Python using Latent Semantic Analysis (LSA)

macaw

An Extensible Conversational Information Seeking Platform

mangatextdetection

Experiments in text localization and detection in raw manga scans. Mostly using OpenCV python API.

matchzoo

Facilitating the design, comparison and sharing of deep text matching models.

mediumish-theme-jekyll

Jekyll Template - Mediumish

microservices

Example of Microservices written using Flask.

ml_as_service

Expose a Machine Learning Application(Classification) as a REST API service using python flask

movie-recommender-demo

multeval

Easy Bootstrap Resampling and Approximate Randomization for BLEU, METEOR, and TER using Multiple Optimizer Runs. This implements "Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability" from ACL 2011.

multi-label-classification

Multi-label classification using LabelPowerSet and Binary Relevance methods