Likelihood-free AMortized Posterior Estimation with PyTorch

Elegant and Performant Deep Learning

PyTorch implementation of normalizing flow models

Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

Object-oriented file system path manipulation

Python logging made (stupidly) simple

Bayesian Learning course at Stockholm University

Linear Assignmment Problem solver using Jonker-Volgenant algorithm - Python 3 native module.

A Stan-like probabilistic programming language.

A unified framework for machine learning with time series

Hyperbolic Hierarchical Clustering.

Bayesian Data Analysis course at Aalto

Linear memory CUDA Time Warp Edit Distance

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Describes a method for monitoring MCMC convergence using ML

Command line installer of the Julia Language.

A short, opinionated guide to object orientation and polymorphism in Julia

JuliaCon 2020 talk

Code of NIPS18 Paper: BRITS: Bidirectional Recurrent Imputation for Time Series

Python package for stacking (machine learning technique)

Python code to compute a running periodogram with lightkurve

OpenStreetMap (*.osm) support for Julia 1.0 and up

A Julia machine learning framework

Tutorial files for the JuliaCon 2020 CxxWrap workshop

End-to-End Object Detection with Transformers