How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
This is an interactive notebook-based course that teaches machine learning from Python fundamentals through deep learning and natural language processing. It uses real datasets and multiple frameworks within a structured, hands-on curriculum that combines concise explanations with executable code cells, built-in datasets, and embedded exercise checkpoints. Learning progresses through data preparation and exploration, classical machine learning workflows, computer vision with convolutional neural networks, and natural language processing with deep learning, all delivered as a cohesive progressi
This project is a comprehensive pandas data analysis tutorial and instructional guide designed for learning data manipulation and analysis. It serves as a tabular data processing guide and a manual for time series analysis, providing a structured approach to cleaning, merging, and transforming datasets. The repository functions as a data feature engineering course, providing tutorials on constructing and selecting dataset features to improve machine learning model performance. It also includes a vectorized data operations guide for performing element-wise mathematical computations and matrix
A powerful tool for creating high-quality training datasets for Large Language Models (LLMs)（一个快速生成高质量LLM微调训练数据集的工具）
The main features of zhulinsen/fastdatasets are: Data Processing, Feature Engineering.
Projects with overlapping indexed features include: argilla-io/distilabel — Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable… datawhalechina/joyful-pandas — This project is a comprehensive pandas data analysis tutorial and instructional guide designed for learning data… nyandwi/machine_learning_complete — This is an interactive notebook-based course that teaches machine learning from Python fundamentals through deep… aim-harvard/pyradiomics. ankurchavda/sparklearning — A comprehensive Spark guide collated from multiple sources that can be referred to learn more about Spark or as an… allenai/olmocr — Olmocr is a distributed document processing framework designed to convert PDF and image files into structured…