Showing 1-20 of 26 projects
AI learning repository with tutorials and implementations for machine learning, deep learning, and data analysis
Machine learning tutorials for Python developers
Automated Machine Learning with scikit-learn
scikit-learn中文文档
A comprehensive platform for learning, simulating, and live trading of stocks using AI and ML techniques.
A Chinese translation of the book 'Hands-On Machine Learning with Scikit-Learn and TensorFlow' for developers interested in machine learning and AI tools.
A delightful machine learning tool that allows you to train, test, and use models without writing code
A library of scikit-learn compatible categorical variable encoders for machine learning applications.
A comprehensive course on accelerated natural language processing using AWS cloud services and tools.
Open-source Python library for feature engineering and selection, compatible with scikit-learn.
A Python library for making stock predictions using machine learning and historical stock data.
Automatically visualize any dataset, any size with a single line of code, built for vibe coders.
Tutorial materials for the scikit-learn machine learning library in Python.
A comprehensive collection of notes and tutorials covering a wide range of topics for developers, including AI, programming languages, and more.
Hyper-parameter optimization for sklearn
Interpretable ML package for concise, transparent, and accurate predictive modeling.
A web app to generate template code for machine learning projects with popular frameworks like PyTorch and TensorFlow.
This repository provides open-source code and educational resources for learning deep learning and machine learning with Python.
A Python library that transpiles trained scikit-learn models to C, Java, JavaScript and other languages.
An open-source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
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