scikit-learn

Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.

A toolkit for time series machine learning and deep learning

Metric learning algorithms in Python

Extra blocks for scikit-learn pipelines.

Machine learning in Python with scikit-learn MOOC

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!

Survival analysis built on top of scikit-learn

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

ONNXMLTools enables conversion of models to ONNX

Samples for Intel® oneAPI Toolkits

Samples and Tools for Windows ML.

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Compilation of R and Python programming codes on the Data Professor YouTube channel.

A high-performance topological machine learning toolbox in Python

A scikit-learn based module for multi-label et. al. classification

scikit-learn cross validators for iterative stratification of multilabel data

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

Wavelet scattering transforms in Python with GPU acceleration

Natural Intelligence is still a pretty good idea.

Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

DoubleML - Double Machine Learning in Python

Collection of sports betting AI tools.

Machine Learning inference engine for Microcontrollers and Embedded devices

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

Impress your boss with interactive Decision Tree visualization