Showing 521-540 of 703 projects
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.
This is an artwork repository for the Pocket Science Lab (PSLab), an open-source hardware platform for education and experimentation.
A curated collection of 43 topic-focused eBook and video resources totaling 3TB, covering a wide range of computer science and programming topics.
Slides and Jupyter notebooks for deep learning lectures at a Master's program in data science.
The official code repository for the second edition of the book Generative Deep Learning, covering AI models and techniques.
A comprehensive introduction to statistics and mathematics for data science, with a focus on the 'hacker' approach.
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 curated collection of 1,000+ computer science research papers from top universities and tech companies.
A deep learning toolkit for medical image analysis, supporting a variety of neural network models and medical imaging tasks.
Curated list of science & math video lecture courses for self-directed learning
A comprehensive collection of resources for learning machine learning in Russian.
Automated machine learning framework for creating and customizing ML models.
A collection of simple tools for data cleaning and wrangling in R for data science tasks.
A curated list of 100+ resources for building and deploying generative AI, focused on helping you become a Generative AI Data Scientist.
A comprehensive Unity library for computational geometry algorithms and data structures.
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.
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