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This project is an educational collection of tutorials and executable code notebooks focused on data science, machine learning, deep learning, and natural language processing concepts in Python. It provides instructional resources covering statistical analysis, linear algebra, artificial intelligence algorithms, and step-by-step guides for developers learning data science. The repository covers a broad spectrum of computational and statistical capabilities, including neural network construction, gradient-based optimization techniques, curve fitting, regression modeling, and collaborative filt
KnowledgeGraphData is a collection of structured datasets and corpora designed to provide a foundational layer for cognitive intelligence and artificial intelligence systems. It primarily consists of large-scale Chinese knowledge graph datasets, including entity-relation data and NLP training sets used to drive semantic understanding and automated question answering. The project focuses on the construction and export of massive entity-attribute-value graphs, organizing knowledge into portable formats. It provides specialized domain partitioning to tailor information retrieval for professional
This project is a collection of transformer natural language processing tutorial notebooks and educational resources. It provides a guide for using the Hugging Face Transformers library through interactive coding exercises and demonstrations. The repository contains ready-to-run Jupyter notebooks that provide practical examples for implementing transformer models. These resources demonstrate how to execute specific natural language processing workflows using pre-trained models. The notebooks cover a range of natural language processing tasks, including text classification, automatic text sum
YSDA course in Natural Language Processing
This project is a development course and learning curriculum focused on building large language model chatbots. It provides a structured series of tutorials for creating conversational agents through the application of natural language processing and deep learning models.
The main features of chinawithfrank/chatbotcourse are: Chatbot Development Tutorials, Deep Learning Implementations, Conversational Dialogue Systems, Natural Language Processing, NLP Learning Resources, Conversational Agent Courses, Conversation Flow Design, Conversational Dataset Sourcing.
Projects with overlapping indexed features include: towardsai/tutorials — This project is an educational collection of tutorials and executable code notebooks focused on data science, machine… ownthink/knowledgegraphdata — KnowledgeGraphData is a collection of structured datasets and corpora designed to provide a foundational layer for… yandexdataschool/nlp_course — YSDA course in Natural Language Processing. nlp-with-transformers/notebooks — This project is a collection of transformer natural language processing tutorial notebooks and educational resources.… spro/practical-pytorch — Practical PyTorch is a collection of deep learning tutorials and guides focused on implementing recurrent neural… trickygo/dive-into-dl-tensorflow2.0 — This project is a structured TensorFlow deep learning curriculum and an interactive machine learning course delivered…