MaxGdr's Stars
TheFaimous-NoahDolev/lmao
Aheuf/cup-picker
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
samshadwell/TrumpScript
Make Python great again
piotrwitek/react-redux-typescript-realworld-app
RealWorld App implementation based on "react-redux-typescript-guide"
oegedijk/explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
PaulPidou/text-game
Java Text Game
PaulPidou/Heroku-Demo-App
PaulPidou/Family_tree
PaulPidou/Formica
Simulation de fourmilière
PaulPidou/Session-generator
PaulPidou/CLOUDS-LAB
Laboratory Material for the course on Cloud Computing
PaulPidou/Jeu-de-la-vie
Python implementation of Conway's Game of Life
PaulPidou/DISC-CLOUD-COURSE
Distributed Systems and Cloud Computing Course
PaulPidou/Algorithmic-Machine-Learning
Public course material
PaulPidou/Post-Erasmus-Trip-ATSP-solver
Post Erasmus Trip Project (Javascript Asymmetric Traveling Salesman Problem solver)
PaulPidou/Food-Clustering-Project
Data Mining project that clusters Instagram posts based on their hashtags
PaulPidou/dlaicourse
Notebooks for learning deep learning
PaulPidou/RockPaperScissorsBot
A TensorFlow-based bot to play roshambo with
PaulPidou/FindOrDraw
TensorFlow-powered game app
PaulPidou/FoodAPI
Backend of the FoodApp (express.js / swagger)
PaulPidou/PaulPidou.github.io
PaulPidou/FoodApp
A React-Native app to handle groceries
BaseAdresseNationale/addok-docker
Conteneurs Addok pour Docker
MAIF/project-template
Open-source project template
MaxGdr/Capstone-Project-Machine-Learning-Engineer-Nanodegree
My capstone project proposal for my ML Engineer Nanodegree - Image Colorization with GANs
MaxGdr/shapash
Shapash makes Machine Learning models transparent and understandable by everyone
moein-shariatnia/Deep-Learning
In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).
MaxGdr/deploy-python-package-on-pypi
This repo is an exemple to auto test / deploy a Python Package to PyPI
MaxGdr/Plagiarism_Detector
plagiarism detector that examines a text file and performs binary classification; labeling that file as either plagiarized or not, depending on how similar that text file is to a provided source text. Detecting plagiarism is an active area of research; the task is non-trivial and the differences between paraphrased answers and original work are often not so obvious.