pandorica-opens

Containerized-System-for-Strength-Analysis

tool for stress computation with respect to surface defects

ElPiGraph.P

Python implementation of the Elastic Principal Graphs (ElPiGraph) method

Eye-tracking-experiments

two eye-tracking experiments from the decision lab using eye-tribe eye-tracker

Hagen-Cumulative-Science-Project-I

Hagen Cumulative Science Project I (Estimating the Reproducibility of JDM Research)

home

Machine-Learning

various algorithms from ML

PythonAutomation

Google Python Automation course

Reproducibility-Tools-in-Machine-Learning

conducting the decision tree for capabilities of frameworks, that assist in reproducing results in Machine Learning: wandb, guild.ai and mlflow

pandorica-opens/meshes

preliminary work on the CAD with the mesh generations using the pipeline described in the paper

pandorica-opens/Reproducibility-Tools-in-Machine-Learning

conducting the decision tree for capabilities of frameworks, that assist in reproducing results in Machine Learning: wandb, guild.ai and mlflow

pandorica-opens/Containerized-System-for-Strength-Analysis

tool for stress computation with respect to surface defects

pandorica-opens/ElPiGraph.P

Python implementation of the Elastic Principal Graphs (ElPiGraph) method

pandorica-opens/Eye-tracking-experiments

two eye-tracking experiments from the decision lab using eye-tribe eye-tracker

pandorica-opens/home

pandorica-opens/jupyterhub-deploy-docker

Reference deployment of JupyterHub with docker

pandorica-opens/libsvm

pandorica-opens/psychopy

For running psychology and neuroscience experiments

pandorica-opens/Hagen-Cumulative-Science-Project-I

Hagen Cumulative Science Project I (Estimating the Reproducibility of JDM Research)

pandorica-opens/Machine-Learning

various algorithms from ML

pandorica-opens/PythonAutomation

Google Python Automation course

pandorica-opens/academic-kickstart-1

Easily create a beautiful website using Academic and Hugo

pandorica-opens/Deep-SVDD-PyTorch

A PyTorch implementation of the Deep SVDD anomaly detection method

pandorica-opens/Fair-Clustering

major ideas of the session "Fair Clustering" from the NeurIPS 2019 conference

pandorica-opens/fair-clustering-fairlets

Implementation of the paper "Fair Clustering Through Fairlets" by Chierichetti et al. (NIPS 2017)

pandorica-opens/ocs-evaluation

Scripts and notebooks to reproduce the experiments and analyses of the paper Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm, "Efficient SVDD Sampling with Approximation Guarantees for the Decision Boundary", 2020.

pandorica-opens/pandorica-opens

pandorica-opens/simple-complexities.github.io

Ameya's math and CS blog.

pandorica-opens/StackOverflow

https://blog.pother.ca/StackOverflow/ Code and Examples to accompany my answers and questions on the StackOverflow website.

pandorica-opens/stardist

StarDist - Object Detection with Star-convex Shapes

pandorica-opens/t-viSNE

t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections