hdbscan
hdbscan: Hierarchical density based clustering - Published in JOSS (2017)
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)
hal9001
hal9001: Scalable highly adaptive lasso regression in R - Published in JOSS (2020)
The vtreat R package
The vtreat R package: a statistically sound data processor for predictive modeling - Published in JOSS (2018)
ParaMonte
ParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortran - Published in JOSS (2021)
Persistable
Persistable: persistent and stable clustering - Published in JOSS (2023)
ClassiPyGRB
ClassiPyGRB: Machine Learning-Based Classification and Visualization of Gamma Ray Bursts using t-SNE - Published in JOSS (2024)
rFBP
rFBP: Replicated Focusing Belief Propagation algorithm - Published in JOSS (2020)
rsmine
A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.
gnn-pressure-estimation
DiTEC research
https://github.com/uxlfoundation/scikit-learn-intelex
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
https://github.com/ant-research/easytemporalpointprocess
EasyTPP: Towards Open Benchmarking Temporal Point Processes
genieclust
Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R
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
https://github.com/business-science/modeltime
Modeltime unlocks time series forecast models and machine learning in one framework
ccdrAlgorithm
Structure learning for Bayesian networks using the CCDr algorithm.
https://github.com/awslabs/renate
Library for automatic retraining and continual learning
https://github.com/cqfn/aibolit
A Static Analyzer for Java Powered by Machine Learning: Identifies Anti-Patterns Begging for Refactoring
https://github.com/amazon-science/mezo_svrg
Code the ICML 2024 paper: "Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models"
https://github.com/interactive-media-lab-data-science-team/vampyr-mtl
Scalable, Portable Multi-task Learning Library for Python
ShortForm
Algorithms for creating short forms based on psychometric principles.
osdg-tool
OSDG is an open-source tool that maps and connects activities to the UN Sustainable Development Goals (SDGs) by identifying SDG-relevant content in any text. The tool is available online at www.osdg.ai. API access available for research purposes.
https://github.com/agrover112/cc1702-ml-lab
Assignments for Machine Learning Lab CC1702 2021
https://github.com/erictleung/ml-portfolio
:book: Experiment with various machine learning algorithms on various data sets from the University of California, Irvine (UCI) Machine Learning Repository (http://archive.ics.uci.edu/ml/index.html)
https://github.com/ammarlodhi255/ml_spelled_out
Collection of notebooks and python code of various machine learning algorithms from scratch.
https://github.com/cilab-ufersa/euthyroid_sick_syndrome
Thyroid Syndrome Detection using Machine Learning Algorithms 🔬
https://github.com/catarinaacsilva/medical-image-processing
Detection of blood acanthocytes through image processing and pattern recognition techniques
dhaka-house-rent-predictor
A simple python program with no external dependancy to predict the house rent at various locations. in Dhaka, Bangladesh.
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.
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.
https://github.com/amazon-science/mada_optimizer_search
Code the ICML 2024 paper: "MADA: Meta-Adaptive Optimizers through hyper-gradient Descent"
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.
echotorch
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
movie-chatbot
A conversational agent that answers movie related questions based on a knowledge graph.
https://github.com/abdulmanaf12/pediatric-chest-pneumonia-classification
This project is all about interpreting Chest X-ray images, and the task is to classify whether X-ray image got infected by Pneumonia or not. we also used here GAN and various type of augmentation techniques.
https://github.com/asanchezyali/personal-website
This repository contains the source code for my personal blog, where I share my thoughts and experiences on programming, mathematics, and technology. The blog covers a wide range of topics related to computer science, including machine learning and software development.
https://github.com/atelierarith/segrcdb.jl
Unofficial Julia implementation of SegRCDB.jl
ml-oneday-course
This is a one-day machine learning introductory course for beginners
dnp3_detection
This repository contains the code about the detection of anomalies over DNP3 protocol and the creation of a Kibana dashboard.
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.
https://github.com/amazon-science/contrastive_emc2
Code the ICML 2024 paper: "EMC^2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence"
https://github.com/mews-labs/palma
This library aims at providing tools for an automatic machine learning approach. As many tools already exist to establish one or the other component of an AutoML approach, the idea of this library is to provide a structure rather than to implement a complete service.
https://github.com/amr-yasser226/machine-learning-for-network-intrusion-detection
A complete pipeline for network intrusion detection comparing label encoding and one‑hot encoding, with SMOTE resampling, feature selection, and ensemble modeling using scikit‑learn and XGBoost, also this was phase one of our University's "CSAI 253- Machine Learning" course.
agrum
This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).
https://github.com/cedrickchee/pytorch-pretrained-bert
PyTorch version of Google AI's BERT model with script to load Google's pre-trained models
https://github.com/bzubs/mlzero
Implementation of widely used ML algorithms in vanilla python
bayesian-hyper-parameter-optimization-for-malware-detection
AI-CyberSec 2021 Workshop CEUR Publication(AI-2021 Forty-first SGAI International Conference)
https://github.com/ashrithsagar/cp217-ml4cps-2024
CP 217 Machine Learning for Cyber-Physical Systems, IISc