m-giraud's repositories
course-v3
The 3rd edition of course.fast.ai
CRN_ProbabilisticInversion
Bayesian inversion of cosmogenic radionuclide depth profile data (Python 2.7)
fastbook
The fastai book, published as Jupyter Notebooks
granar_examples
GRANAR User guide
keras-io
Keras documentation, hosted live at keras.io
lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
newt
A web application to visualize and edit pathway models
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
ressources
Random ressources for scientists
rl-handson-rlvs21
Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.
rl-tutorial-jnrr19
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
Rpackages
A workshop for how to build R packages
SoftwareDevInScience2021
Software Development in Science Workshop 2021