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acamica-ds-cor

Repositorio con contenidos de la carrera de Data Science en Acámica (Córdoba)

challenges

course-spark-ds

Resources for course: Spark and Python for Data Science

dataworkstation.jl

A Julia framework to produce your data projects as a professional artist

dateinfer

Python library to infer date format from examples

dilemma.jl

A Julia package to develop and evaluate context-free and contextual Multi-Armed Bandit policies

ensemblearn.jl

A Julia library to build ML models with Ensemble Learning algorithms (based on Decision Trees)

exercises_reinforcement_learning

Some exercises to practice methods of Reinforcement Learning

featrees

An example of Feature Engineering through tree-based models

flux.jl

Relax! Flux is the ML library that doesn't make you tensor

justsayit.jl

Offline, low latency, highly accurate and secure speech to command translation software and high-level API on Linux, MacOS and Windows

labbel-images

A tool to label images and their bounding boxes associated for object detection applications

learninspy

Deep Learning in Spark, with Python

learninspy-tesis

Documentación de la tesis correspondiente al proyecto Learninspy

markov_clustering

markov clustering in python

meli_datachallenge2019

A Python solution for the MercadoLibre Data Challenge 2019

ocreract.jl

A simple Julia wrapper for Tesseract OCR

optuna

A hyperparameter optimization framework

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet_pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

pointnet_pytorch

This is the pytorch implementation of PointNet on semantic segmentation task.

powrl3

Reinforcement Learning raised to the third power to solve a magic cube

pyoselm

A Python implementation of Online Sequential Extreme Machine Learning (OS-ELM) for online machine learning

rl-3

RL^3

rl-iot-example

Reinforcement Learning agent to solve Tic Tac Toe game, deployed on an IoT environment

sdv

Synthetic Data Generation for tabular, relational and time series data.

steganogan

SteganoGAN is a tool for creating steganographic images using adversarial training.

strategems.jl

Quantitative systematic trading strategy development and backtesting in Julia

tensorflow-mobilenet

An example of usage of a MobileNet model in TensorFlow with Python

word_cloud

A little word cloud generator in Python