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4 repositories tagged with jupyter-notebook

Topic: jupyter-notebook
AI-Agents-Projects-Tutorials: Comprehensive Guide to AI Agent Development

AI-Agents-Projects-Tutorials: Comprehensive Guide to AI Agent Development

The AI-Agents-Projects-Tutorials repository offers an extensive collection of code implementations and tutorials for building advanced AI agents. It covers fundamental concepts such as multi-agent systems, memory management, planning, and reasoning loops. This resource is ideal for developers and researchers seeking practical insights into agentic AI development.

Analyzed Jul 28, 2026
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Evidently: Open-Source ML and LLM Observability Framework

Evidently: Open-Source ML and LLM Observability Framework

Evidently is an open-source Python library designed for evaluating, testing, and monitoring machine learning and large language model systems. It provides over 100 built-in metrics for various tasks, from data drift detection to LLM judges, supporting both tabular and text data. This framework helps ensure the quality and performance of AI-powered systems throughout their lifecycle.

Analyzed Jun 30, 2026
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EasyEdit: An Easy-to-Use Knowledge Editing Framework for LLMs

EasyEdit: An Easy-to-Use Knowledge Editing Framework for LLMs

EasyEdit is an open-source framework designed for efficient knowledge editing in Large Language Models (LLMs). It provides a unified, easy-to-use platform to modify, insert, or erase specific knowledge within LLMs without negatively impacting overall performance. This tool is crucial for aligning LLMs with evolving user needs and correcting factual inaccuracies.

Analyzed Jan 26, 2026
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pytorch-deep-learning: Learn PyTorch for Deep Learning from Zero to Mastery

pytorch-deep-learning: Learn PyTorch for Deep Learning from Zero to Mastery

This repository provides comprehensive materials for the "Learn PyTorch for Deep Learning: Zero to Mastery" course. It offers a hands-on, code-first approach to mastering PyTorch, covering fundamentals to advanced topics like computer vision and model deployment. With over 16,000 stars, it's a highly popular resource for beginners in machine learning and deep learning.

Analyzed Nov 8, 2025
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