Arnaud Dhaene's starred repositories
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
pytorchviz
A small package to create visualizations of PyTorch execution graphs
PyTorch-CycleGAN
A clean and readable Pytorch implementation of CycleGAN
batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
streamlit-drawable-canvas
Do you like Quick, Draw? Well what if you could train/predict doodles drawn inside Streamlit? Also draws lines, circles and boxes over background images for annotation.
nvidia-htop
A tool for enriching the output of nvidia-smi.
histocartography
A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.
tag_tracking
ML based Motion Tracking and Synthetic MR Motion Image Generator
ee559-project2
EE559 - Deep Learning (EPFL), Spring 2020, Project 2