trekhleb/machine-learning-experiments
A collection of interactive Jupyter/Colab notebooks demonstrating machine learning model training with TensorFlow/Keras and browser-based demos.
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This repository contains interactive machine learning experiments with Jupyter notebooks for model training and web-based demos showing models in action. Each experiment includes both the training code and a demonstration page. Most models are built using TensorFlow 2 and Keras, covering supervised learning and other ML approaches as educational examples. The project explicitly states it is a sandbox for learning rather than production-ready code.
Frequently asked
- What is trekhleb/machine-learning-experiments?
- A collection of interactive Jupyter/Colab notebooks demonstrating machine learning model training with TensorFlow/Keras and browser-based demos.
- Is machine-learning-experiments open source?
- Yes — trekhleb/machine-learning-experiments is open source, released under the MIT license.
- What language is machine-learning-experiments written in?
- trekhleb/machine-learning-experiments is primarily written in Jupyter Notebook.
- How popular is machine-learning-experiments?
- trekhleb/machine-learning-experiments has 1.8k stars on GitHub.
- Where can I find machine-learning-experiments?
- trekhleb/machine-learning-experiments is on GitHub at https://github.com/trekhleb/machine-learning-experiments.