Rémy Marquis's Projects
Repo for the Deep Reinforcement Learning Nanodegree program
Summaries and notes on Deep Learning research papers
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
MIT Deep Learning Book in PDF format
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
Design Patterns for Humans™ - An ultra-simplified explanation
Design Patterns implemented in Kotlin
Notebooks for learning deep learning
My dotfiles config
The projects and the materials that accompany the Data Structures & Algorithms in Kotlin book
TrueSkill extension accommodating score-based match outcomes and home field advantage
TensorFlow tutorials and best practices.
A collection of (mostly) technical things every software developer should know
TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼
The fast.ai deep learning library, lessons, and tutorials
Draft of the fastai book
More than 50 machine learning models (and tests) based on TensorFlow / PyTorch
Free resources for learning data science
:books: Freely available programming books
This is a collection of geostatistical scripts written in Python
GitHub metrics
About Better GitHub statistics images for your profile, with stats from private repos too
😊 A specification to improve the use of emojis in commit messages
A complete daily plan for studying to become a Google software engineer.
Hands-On-Design-Patterns-with-Kotlin, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Korean Alphabet Transcription
Book about interpretable machine learning
Everything you need to know to get the job.