paola-md's Stars
ossu/data-science
📊 Path to a free self-taught education in Data Science!
MaartenGr/BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
tirthajyoti/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
vintasoftware/django-react-boilerplate
Django 5, React, Bootstrap 5 with Python 3 and Webpack project boilerplate
epfLLM/meditron
Meditron is a suite of open-source medical Large Language Models (LLMs).
jupyter/nbgrader
A system for assigning and grading notebooks
testdrivenio/fastapi-vue
Single Page App with FastAPI and Vue.js
lanbing510/DensityPeakCluster
Python Code For 'Clustering By Fast Search And Find Of Density Peaks' In Science 2014.
nmalkin/plot-likert
Python library to visualize results from Likert scale survey questions
danilkolikov/fsfc
Feature Selection for Clustering
LSIR/DIS
CS-423 Distributed Information Systems
ratschlab/dpsom
Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'
ciortanmadalina/high_noise_clustering
Techniques to cluster very noisy data (dropouts or random noise)
bobhancock/goxmeans
An implementation of the x-means algorithm in Go.
ML-KULeuven/cobras
Interactive clustering with super-instances
peldszus/arg-microtexts
An annotated corpus of argumentative microtexts
malteos/semantic-document-relations
Implementation, trained models and result data for the paper "Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles"
earthlab/abc-classroom
Tools to automate github classroom and autograding workflows
prandoni/COM418
Lecture notebooks for the class "Computers and Music"
kgori/scluster
An implementation of the self-tuning spectral clustering algorithm described in Zelnik-Manor and Perona (2004)
garyongguanjie/Ordinal-Classifier
Classifying classes with ordinality
epfl-ml4ed/mlbd-2021
Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2021.
theevann/notebook-progress-tracker
Track progress in jupyter notebooks
umairzahmed/seet2020
Artifacts of an ICSE SEET 2020 paper titled: Characterizing the Pedagogical Benefits of Adaptive Feedback for Compilation Errors by Novice Programmers
hlostam/ouroboros_paper
Code and experiments in vagrant for the Ouroboros prediction model for predicting at-risk students
Teamwork-Analytics/teamwork-visualiser-dashboard
A dashboard to collect, analyse, and visualize all teamwork activities
CSSLab/success-stories-experiment
EduMUNI/reflection-classification
lucamouchel/Understanding-Revision-Behavior
UCIDataLab/student_poisson_mixture