Most popular machine-learning repositories and open source projects
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and...
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awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video l...
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pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vis...
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turicreate
Turi Create simplifies the development of custom machine learning mode...
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dive-into-machine-learning
Free ways to dive into machine learning with Python and Jupyter Notebo...
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MLAlgorithms
Minimal and clean examples of machine learning algorithms implementati...
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unstructured
Open source libraries and APIs to build custom preprocessing pipelines...
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machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have off...
1707 10527 10527
numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Li...
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amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and...
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stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: Tens...
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stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinf...
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mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related...
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computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
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