Code & Implementations

ML Code Examples

Explore the most popular open-source repositories, Jupyter notebooks, and practical implementations from the global ML community.

46k+

100-Days-Of-ML-Code

Avik Jain

A 100-day structured roadmap to learn Machine Learning from scratch with code examples, cheatsheets, and concept explainers.

PythonRoadmapBeginner
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140k+

Transformers

Hugging Face

State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. Pretrained models for text, vision, and audio.

PythonNLPPyTorchJAX
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60k+

Scikit-Learn

scikit-learn

Machine learning in Python. Simple and efficient tools for predictive data analysis covering classification, regression, and clustering.

PythonLibrarySupervised ML
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77k+

TensorFlow Models

TensorFlow

Models and examples built with TensorFlow framework, providing official implementations for state-of-the-art architectures.

PythonTensorFlowExamples
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22k+

Deep Learning Specialization

Kulbear

Jupyter notebooks containing the programming assignments for Andrew Ng's Coursera Deep Learning Specialization.

PythonJupyterCoursera
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64k+

Awesome Machine Learning

Joseph Misiti

A wildly popular curated list of awesome Machine Learning frameworks, libraries, software, and tutorials.

ListResourcesMulti-Language
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