PyXAB - A Python Library for $\mathcal{X}$-Armed Bandit and Online Blackbox Optimization Algorithms
PyXAB - A Python Library for $\mathcal{X}$-Armed Bandit and Online Blackbox Optimization Algorithms - Published in JOSS (2024)
rsmine
A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.
gnn-pressure-estimation
DiTEC research
medfm_submission_only
Solution for NeurIPS 2023 - MedFM Challenge
pyimpetus
PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
bayesian-hyper-parameter-optimization-for-malware-detection
AI-CyberSec 2021 Workshop CEUR Publication(AI-2021 Forty-first SGAI International Conference)
sgumlp
Pytorch implementation of the SGU-MLP Architecture (mostly) as described in the paper "Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover Mapping".
jupyter_gettingstarted2ml
This Getting Started Tutorial systematically demonstrates the typical ML work process step-by-step using the powerful and performant Support Vector Classifier (SVC) and the beginner-friendly Iris Dataset. Furthermore, the selection of the correct SVC kernel and its parameters are described and their effects on the classification result are shown.
virtual-try-on-trial-clothes
One of the key features of this web application is its virtual try-on feature, which allows users to see how different clothing items would look on them. This feature eliminates the need for users to physically try on clothes in a store, making the shopping experience more convenient and efficient.
ml-oneday-course
This is a one-day machine learning introductory course for beginners
prophitbet-soccer-bets-predictor
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
trustpy-tools
TrustPy is a production-ready Python package purpose-built for MLOps pipelines—enabling automated, interpretable analysis of model trustworthiness and predictive reliability before deployment. Available via Conda-Forge and PyPI, with full CI/CD integration and seamless compatibility across modern ML stacks.
movie-chatbot
A conversational agent that answers movie related questions based on a knowledge graph.