Popular GitHub Repositories for Expectation

GPstuff - Gaussian process models for Bayesian analysis

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

[NeurIPS 2024] CLOVER: Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Bayesian Methods for Machine Learning

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

Python library to implement advanced trading strategies using machine learning and perform backtesting.

[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation

Animated Visualizations of Popular Machine Learning Algorithms

Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"

Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization

Learning Diffusion Priors from Observations by Expectation Maximization

variational Bayesian algorithm for Brain MR image Segmentation

Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)

Implementation of Task-Parameterized-Gaussian-Mixture-Models as presented from S. Calinon in his paper: "A Tutorial on Task-Parameterized Movement Learning and Retrieval"

Repository for the code of the "Introduction to Machine Learning" (IML) lecture at the "Learning & Adaptive Systems Group" at ETH Zurich.

PySpark implementation of the probabilistic latent semantic indexing algorithm

This is the repository for the EDAN95 - Till?mpad maskininl?rning (Applied Machine Learning) course given at Lunds Tekniska H?gskola (LTH) during the Fall 2019 term.