https://github.com/trekhleb/machine-learning-experiments

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
https://github.com/trekhleb/machine-learning-experiments

ai artificial-intelligence colab colab-notebook javascript jupyter-notebooks keras machine-learning numpy python tensorflow

Last synced: 7 months ago
JSON representation

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

• Host: GitHub
• URL: https://github.com/trekhleb/machine-learning-experiments
• Owner: trekhleb
• License: mit
• Created: 2019-11-14T06:50:29.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2024-11-12T20:57:41.000Z (about 1 year ago)
• Last Synced: 2025-04-13T13:55:56.235Z (8 months ago)
• Topics: ai, artificial-intelligence, colab, colab-notebook, javascript, jupyter-notebooks, keras, machine-learning, numpy, python, tensorflow
• Language: Jupyter Notebook
• Homepage: https://trekhleb.dev/machine-learning-experiments/
• Size: 763 MB
• Stars: 1,697
• Watchers: 59
• Forks: 314
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

Awesome Lists containing this project

• StarryDivineSky - trekhleb/machine-learning-experiments - learning-experiments的GitHub项目，专注于交互式的机器学习实验。项目特色在于它同时包含了机器学习模型的训练和模型演示两个部分。这意味着你可以不仅可以学习如何训练模型，还能看到模型实际运行的效果。项目可能涵盖各种机器学习算法和技术，通过交互式的方式帮助用户理解机器学习的工作原理。具体实现细节需要查看项目代码和文档，但整体目标是提供一个易于理解和实践的机器学习学习平台。该项目适合对机器学习感兴趣的初学者和希望深入了解算法细节的开发者。通过该项目，用户可以动手实践，加深对机器学习概念的理解，并探索不同模型的性能和应用场景。 (A01_机器学习教程)
• Machine-Learning - trekhleb, machine-learning-experiments