| | Fastest autograd in the West (arogozhnikov.github.io) |
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90 points by tplrbv on Jan 3, 2024 | past | 46 comments
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| | Einops, Retrospective of 5 Years (arogozhnikov.github.io) |
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2 points by lukastyrychtr on July 21, 2023 | past
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| | Delimiter-first code (arogozhnikov.github.io) |
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142 points by g0xA52A2A on Dec 9, 2022 | past | 86 comments
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| | Things I wish someone told me about microscopy (2020) (arogozhnikov.github.io) |
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2 points by Tomte on May 7, 2022 | past
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| | Don't write command-line interfaces (generate them) (arogozhnikov.github.io) |
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2 points by defaulty on Aug 25, 2021 | past
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| | Neural Networks in 3D with WebGL (arogozhnikov.github.io) |
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1 point by defaulty on Aug 20, 2021 | past
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| | Hamiltonian Monte Carlo explained in 3D (arogozhnikov.github.io) |
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2 points by defaulty on Aug 19, 2021 | past
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| | Numbers that lie to you (2020) (arogozhnikov.github.io) |
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1 point by defaulty on Aug 19, 2021 | past
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| | Don't write command-line interfaces (and how to write if you have to) (arogozhnikov.github.io) |
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13 points by arogozhnikov on Oct 9, 2020 | past | 24 comments
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| | Writing a better code with pytorch and einops (arogozhnikov.github.io) |
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2 points by yamrzou on Jan 27, 2019 | past
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| | Marching neural network: Visualizing level surfaces of a neural network (arogozhnikov.github.io) |
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2 points by adamnemecek on Dec 5, 2018 | past
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| | Hamiltonian Monte Carlo explained (arogozhnikov.github.io) |
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210 points by adamnemecek on Dec 5, 2018 | past | 17 comments
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| | GitHype – tool for scanning GitHub for fresh popular repositories on some topic (arogozhnikov.github.io) |
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1 point by pplonski86 on Nov 30, 2018 | past
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| | Interactive demonstrations for ML courses (2016) (arogozhnikov.github.io) |
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1 point by magoghm on Nov 2, 2018 | past
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| | Reconstructing pictures with machine learning (demo) (arogozhnikov.github.io) |
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1 point by arogozhnikov on July 9, 2017 | past
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| | Marching neural network (arogozhnikov.github.io) |
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113 points by signa11 on June 26, 2017 | past | 11 comments
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| | Neural networks in 3d with webGL (arogozhnikov.github.io) |
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1 point by rcarmo on June 16, 2017 | past
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| | Visualizing neural networks in 3D (arogozhnikov.github.io) |
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3 points by jonbaer on June 15, 2017 | past
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| | Hamiltonian Monte Carlo explained (arogozhnikov.github.io) |
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3 points by dil8 on June 1, 2017 | past
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| | Machine Learning in Science and Industry Slides (arogozhnikov.github.io) |
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3 points by sshb on April 22, 2017 | past
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| | Hamiltonian Monte Carlo explained (arogozhnikov.github.io) |
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7 points by sebg on Dec 22, 2016 | past
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| | Jupyter (IPython) notebooks features (arogozhnikov.github.io) |
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3 points by n-s-f on Sept 26, 2016 | past
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| | Jupyter (IPython) notebooks features (arogozhnikov.github.io) |
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6 points by arogozhnikov on Sept 14, 2016 | past
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| | Gradient Boosting Explained in 3D (arogozhnikov.github.io) |
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105 points by sshb on July 27, 2016 | past | 15 comments
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| | Gradient Boosting Interactive Playground (arogozhnikov.github.io) |
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1 point by amplifier_khan on July 19, 2016 | past
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| | Gradient Boosting Interactive Playground (arogozhnikov.github.io) |
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2 points by stared on July 18, 2016 | past
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| | Reconstructing pictures with machine learning (arogozhnikov.github.io) |
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13 points by sshb on Feb 18, 2016 | past | 1 comment
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