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Alexandre Benoit's Projects

bachelordim-lectures-algorithms-2020 icon bachelordim-lectures-algorithms-2020

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 icon caffe

Caffe: a fast open framework for deep learning.

captum icon captum

Model interpretability and understanding for PyTorch

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

dilate icon dilate

Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"

dvf icon dvf

Exploration des données DVF

imgclsmob icon imgclsmob

Sandbox for training deep learning networks

jetsontools icon jetsontools

a set of tools and scripts to play with Nvidia Jetson Nano

ml-dl_workshop_synage icon ml-dl_workshop_synage

The repository for the ML/DL workshop during the SynAGE 2021 summer school in Magdeburg, including all materials and feedback.

ml-from-scratch icon ml-from-scratch

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.

neuralforecast icon neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms for time series data :wavy_dash:.

sobol-attribution-method icon sobol-attribution-method

👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

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