OUCMachineLearning/OUCML

Frequently asked questions

• exacity/deeplearningbook-chinese

  exacity/deeplearningbook-chinese

  37,285Vezi pe GitHub↗

  This project is a comprehensive Chinese translation of a technical deep learning textbook, providing an educational resource on the theory and implementation of neural networks. It functions as a collaborative technical translation project designed to make complex academic AI literature accessible to non-English speakers. The project utilizes a community-driven translation model that integrates external suggestions and pull requests to refine linguistic accuracy and reduce bias. It employs standardized terminology mapping to ensure a uniform vocabulary throughout the translated content. To i

  TeX

  Vezi pe GitHub↗37,285
• goodfeli/adversarial

  goodfeli/adversarial

  4,074Vezi pe GitHub↗

  This project is a generative adversarial network implementation and research framework. It provides the tools and hyperparameters necessary to train and evaluate generative models across various datasets, specifically designed to reproduce results from academic research. The framework includes a Parzen density likelihood estimator to calculate model log likelihood. This allows for the quantitative evaluation of generative distributions and the measurement of overall model performance. The codebase covers machine learning research capabilities, focusing on the training of adversarial networks

  Python

  Vezi pe GitHub↗4,074
• jmcunningham/angularjs-learning

  jmcunningham/AngularJS-Learning

  10,874Vezi pe GitHub↗

  AngularJS-Learning is an educational repository and resource directory designed for mastering the AngularJS framework. It serves as a curated collection of tutorials, articles, and videos, providing a structured study guide that ranges from basic concepts to advanced architectural patterns. The project provides a directory of best practices, style guides, and architectural patterns for building scalable applications. It also maintains a collection of sample projects, boilerplates, and seed projects that demonstrate functional implementations of the framework. The repository covers a broad le

  Vezi pe GitHub↗10,874
• nyandwi/machine_learning_complete

  Nyandwi/machine_learning_complete

  4,983Vezi pe GitHub↗

  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

  Jupyter Notebookcomputer-visiondata-analysisdata-science

  Vezi pe GitHub↗4,983