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bamboos

This project aim is to bring a class that helps in data preprocessing tasks with pandas.DataFrame objects.

computervision_flask_api_dogedex

Dogedex is a flask app which allows to recognize the dog race of a model trained by a (keras) deep neural network. The weights used in the application provide from a neural network trained in this project : http://bit.ly/cv_dogs_study

computervision_stanford_dogs_dataset

This project is a study that compares two machine learning approches (Feature extraction with SIFT descriptors and deep learning) in order to classify dogs races (Stanford dogs dataset). A flask application is built from the weights of the final deep neural network trained : http://bit.ly/mk_cv_dogs

dss_plugin_header_cleaner

A DSS plugin that allows to normalize (accents, spaces, hyphens, multi-cases, ...) raw column headers within a given dataset.

machinelearningfunctions

Some functions for data preparation and data visualization.

nlp_flask_api_stackoverflow_tags_recommender

This project is a flask app which allows to generate Stack Overflow tags from any message. A demonstration is available at http://bit.ly/mk_nlp_stack

nlp_stackoverflow_tags_recommender

This project is a Natural Language Processing study. It's objective is to build models that learnt relevant informations from a corpus of Stack Overflow querries in order to recommend tags . A flask application is built thanks to the combination of different models : http://bit.ly/mk_nlp_stack_flask_

projects_pictures

pictures centralized for my projects

pysc2-rl-agents

StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

pysc2-rlagents

Notes and scripts for SC2LE released by DeepMind and Blizzard, more details [here](https://github.com/deepmind/pysc2).

recommandation_flask_api_movie_recommendation_system

This project is a flask app which allows to recommend 5 movies which are close to a chosen one. A demonstration is available at http://bit.ly/mk_recom_movies

reinforcementlearning_starcraft_2_pysc2

This project allows to train reinforcement learning agents in pysc2 environments.

solutions-contrib