Showing 281-300 of 380 projects
Tutorials and training material for the H2O Machine Learning Platform
A Python library for creating multi-class confusion matrices, useful for evaluating machine learning models.
A curated collection of Google Colab notebooks and repositories for data science, machine learning, and AI development.
A collection of efficient Python tricks and tools for data scientists to improve their productivity.
TSV Utilities: Command-line tools for processing large tabular data files with filtering, statistics, sampling, and more.
A Python library for calculating customer lifetime value metrics and cohort analysis.
An open-source tool for scaling, assessing, and maintaining natural language data for AI/ML models.
The official code repository for the second edition of the book Generative Deep Learning, covering AI models and techniques.
A comprehensive Python library for time series forecasting using machine learning models.
A Python library for interpretable and explainable machine learning model analysis and visualization.
A collaboration workspace for Machine Learning, supporting popular ML frameworks and enabling reproducible workflows.
A deep learning toolkit for medical image analysis, supporting a variety of neural network models and medical imaging tasks.
A comprehensive collection of resources for learning machine learning in Russian.
Automated machine learning framework for creating and customizing ML models.
A curated list of 100+ resources for building and deploying generative AI, focused on helping you become a Generative AI Data Scientist.
A collection of simple tools for data cleaning and wrangling in R for data science tasks.
A curated list of best AI resources for developers, including tutorials, libraries, and tools.
This is a comprehensive tutorial on linear algebra, designed for developers, with Python and visualization.
Knet.jl is a deep learning framework for the Julia programming language, focused on research and scientific computing.
Reference Jupyter notebooks and demo AI/ML applications for enterprise use cases
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