Alexandre Benoit's Projects
Models used for our paper submission
Algorithms, code writing and continuous integration @ DIM Bachelor, Université Savoie Mont Blanc, France Those lessons are addressed to the "Développeur Informatique Multisupports" (DIM) Bachelor proposed at Université Savoie Mont Blanc in France. Students are expected to be familiar with programming. The aim is to get more familiar with code quality, maintainability and efficacy... and Python.
Caffe: a fast open framework for deep learning.
Model interpretability and understanding for PyTorch
Samples for Google Cloud Machine Learning Engine
The Leek group guide to data sharing
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A set of tools to play with deep learning
Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"
Exploration des données DVF
Collection of GammaLearn meetings
Sandbox for training deep learning networks
Code for the indexed convolution
a set of tools and scripts to play with Nvidia Jetson Nano
Keras Temporal Convolutional Network.
Leaf: A Benchmark for Federated Settings
The repository for the ML/DL workshop during the SynAGE 2021 summer school in Magdeburg, including all materials and feedback.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Scalable and user friendly neural :brain: forecasting algorithms for time series data :wavy_dash:.
A visual tool for wiring the Internet of Things
OpenCV GitHub Mirror
Repository for OpenCV's extra modules
ESCAPE Summer School 2021
👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)
Computation using data flow graphs for scalable machine learning
Seminar: intro to deep learning with tensorflow