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SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.29% of bugs in the SWE-bench evaluation set and takes just 1.5 minutes to run.
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Morph an input dataset of 2D points into select shapes, while preserving the summary statistics to a given number of decimal points through simulated annealing.
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Tools to help identify new and changing moles on the skin with the goal of early detection of melanoma skin cancer.
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It is as if you were doing work
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Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
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Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
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Bloomberg's distributed RDBMS
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Plumbum: Shell Combinators
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Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
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Collect your thoughts and notes without leaving the command line.