epfml/OptML_course

• منهج تعليمي مجاني لتعلم تعلم الآلة

• mlnlp-world/deeplearning-muli-notes

  MLNLP-World/DeepLearning-MuLi-Notes

  3,790عرض على GitHub↗

  This project is a deep learning study resource and educational curriculum designed for mastering neural network architectures and theory. It serves as a learning platform that combines theoretical notes and mathematical formulas with practical code implementations. The curriculum is centered on the PyTorch framework, providing a structured path for building and training models through annotated code examples and technical reviews of mathematical foundations. The resource utilizes interactive notebooks for executing machine learning algorithms and experimenting with data models. Theoretical

  Jupyter Notebookdeep-learningpytorch

  عرض على GitHub↗3,790
• rohitg00/ai-engineering-from-scratch

  rohitg00/ai-engineering-from-scratch

  33,575عرض على GitHub↗

  This project is a structured AI engineering curriculum and educational program designed to teach the construction of machine learning models, neural networks, and autonomous agents from the ground up. It serves as a comprehensive machine learning course covering mathematical foundations, deep learning architectures, and reinforcement learning through practical implementation. The project provides a technical framework for building autonomous loops and memory systems via an agent framework, as well as guides for implementing multimodal AI systems that integrate vision, audio, and text processi

  Pythonagentsaiai-agents

  عرض على GitHub↗33,575
• mleveryday/practicalai-cn

  MLEveryday/practicalAI-cn

  6,879عرض على GitHub↗

  This project is an educational course and machine learning curriculum designed to teach the implementation of neural network architectures and learning algorithms. It provides a structured guide for studying artificial intelligence through a collection of tutorials and practical coding exercises. The curriculum utilizes interactive notebooks that allow for the execution of code within a web browser. This environment enables the prototyping of artificial intelligence models and the analysis of data without requiring a local software installation. The content covers the design and training of

  Jupyter Notebookdeep-learninggoogle-colab-notebookjupyter-notebook

  عرض على GitHub↗6,879
• apachecn/hands-on-ml-zh

  apachecn/hands-on-ml-zh

  3,781عرض على GitHub↗

  This project is a Chinese translation of a comprehensive educational resource for implementing machine learning. It serves as a technical guide for developing machine learning models, providing translated documentation and practical tutorials. The resource focuses specifically on the implementation of machine learning using Scikit-Learn and TensorFlow. It provides guides for building traditional machine learning models as well as developing deep learning neural networks. The content covers the end-to-end machine learning workflow, including data preparation, model training, and evaluation. E

  CSSbookdeep-learningmachine-learning

  عرض على GitHub↗3,781

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