joolsa
Associate Professor at the University of Vaasa. Research in marketing and HCI. https://jonisalminen.com
University of VaasaVaasa, Finland
joolsa's Stars
salu133445/musegan
An AI for Music Generation
AI-Guru/MMM-JSB
Multi-Track Music Generation with the Transfomer and the Johann Sebastian Bach Chorales dataset
JamesAlday/DoubleMadOutliers
A library that uses 'Double MAD' method to find outliers in asymmetric data.
soulmachine/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
evidentlyai/evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
scikit-learn-contrib/boruta_py
Python implementations of the Boruta all-relevant feature selection method.
LeoGrin/tabular-benchmark
PsyChiLin/EFAshiny
An User-Friendly Application for Exploratory Factor Analysis
ElizabethForest/HyPersona
A semi-automated framework for persona development and the hyperparameter tuning of clustering algorithms
pycaret/pycaret
An open-source, low-code machine learning library in Python
cestella/streaming_outliers
Streaming outlier analysis
kuwala-io/kuwala
Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times
predict-idlab/powershap
A power-full Shapley feature selection method.
recommenders-team/recommenders
Best Practices on Recommendation Systems
eric-mitchell/mend
MEND: Fast Model Editing at Scale
asiamina/FakeReviews-RestaurantDataset
A data set for fake review analysis (Fake Review Restaurant Dataset).
Simon-Bertrand/Clusters-Features
The Clusters-Features package allows data science users to compute high-level linear algebra operations on any type of data set. It computes approximatively 40 internal evaluation scores such as Davies-Bouldin Index, C Index, Dunn and its Generalized Indexes and many more ! Other features are also available to evaluate the clustering quality.
brownhci/WebGazer
WebGazer.js: Scalable Webcam EyeTracking Using User Interactions
oegedijk/explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
facebookexperimental/Robyn
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
nkolster/Robyn-improvements
Improvements and helpers to Facebook Robyn marketing mix modeling package
HumanSignal/label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
human-centered-ai-lab/PERSONAS
TadasBaltrusaitis/OpenFace
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
ogozuacik/concept-drift-datasets-scikit-multiflow
concept drift datasets edited to work with scikit-multiflow directly
cheat-sheets/game-theory-cheat-sheet
Game Theory Cheat Sheet
jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
h2oai/mli-resources
H2O.ai Machine Learning Interpretability Resources
aayush210789/Deception-Detection-on-Amazon-reviews-dataset
A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.
dreasysnail/POINTER