hcvazquez Goto Github PK

acmap

Tool for map an architecture design with the source code

aidt-client

The Web client of AIDT

aidt-st-rank

The rank component of AIDT

aidt-st-retrieval

The retrieval component of AIDT

api-search

automagica

🤖 Open Source (Smart) Robotic Process Automation

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

barchartexample

data-exploration-in-spark-with-pyspark-sql

Data exploration in spark with pyspark sql

dataminingexperimentation

experimentexample

Example for UFFOptimizer experiment

fastpriorityqueue.js

a fast heap-based priority queue in JavaScript

fecon235

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

handling-time-data-engineering

The data engeneering process for the handling time problem

ht-engineering

An engineering process for data science and big data processing

hugo-coder

A very minimalist developer blog theme for hugo.

jsdeadcodeanalyzer

JSDeadCodeAnalyzer is a Java-based dead code analyzer for JavaScript applications

jspirit

[A flexible tool for the analysis of code smells] Code smells are a popular mechanism to identify structural design problems in software systems. In this repository, it's version a flexible tool to prioritize technical debt in the form of code smells.

libraries

This repository contains a list of supported libraries, imports and technologies they belong to

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

machine-learning-in-spark-with-pyspark

[A repo to store some code and experiences about machine learning in spark with pyspark] Spark comes with a library containing common machine learning (ML) functionality, called MLlib. MLlib provides multiple types of machine learning algorithms, including classification, regression, clustering, and collaborative filtering, as well as supporting functionality such as model evaluation and data import. It also provides some lower-level ML primitives, including a generic gradient descent optimization algorithm. All of these methods are designed to scale out across a cluster.

markov-chain

mosaic

Mosaic: MCTS-based Pipeline Optimization

natural-language-processing-in-spark-with-pyspark

Natural language processing in spark with pyspark

nodejsmulticoreoptimization

A multi core optimization for node

npmgraph.an

2d visualization of npm

personal_site

My personal site

properscoring

Proper scoring rules in Python

python-basic-data-structures

Python basic data structures