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Hamiltonian Monte Carlo Explained (2016) (arogozhnikov.github.io)
1 point by rzk on April 3, 2025 | past
Fastest autograd in the West (arogozhnikov.github.io)
90 points by tplrbv on Jan 3, 2024 | past | 46 comments
Einops, Retrospective of 5 Years (arogozhnikov.github.io)
2 points by lukastyrychtr on July 21, 2023 | past
Delimiter-first code (arogozhnikov.github.io)
142 points by g0xA52A2A on Dec 9, 2022 | past | 86 comments
Things I wish someone told me about microscopy (2020) (arogozhnikov.github.io)
2 points by Tomte on May 7, 2022 | past
Don't write command-line interfaces (generate them) (arogozhnikov.github.io)
2 points by defaulty on Aug 25, 2021 | past
Neural Networks in 3D with WebGL (arogozhnikov.github.io)
1 point by defaulty on Aug 20, 2021 | past
Hamiltonian Monte Carlo explained in 3D (arogozhnikov.github.io)
2 points by defaulty on Aug 19, 2021 | past
Numbers that lie to you (2020) (arogozhnikov.github.io)
1 point by defaulty on Aug 19, 2021 | past
Don't write command-line interfaces (and how to write if you have to) (arogozhnikov.github.io)
13 points by arogozhnikov on Oct 9, 2020 | past | 24 comments
Writing a better code with pytorch and einops (arogozhnikov.github.io)
2 points by rzk on Jan 27, 2019 | past
Marching neural network: Visualizing level surfaces of a neural network (arogozhnikov.github.io)
2 points by adamnemecek on Dec 5, 2018 | past
Hamiltonian Monte Carlo explained (arogozhnikov.github.io)
210 points by adamnemecek on Dec 5, 2018 | past | 17 comments
GitHype – tool for scanning GitHub for fresh popular repositories on some topic (arogozhnikov.github.io)
1 point by pplonski86 on Nov 30, 2018 | past
Interactive demonstrations for ML courses (2016) (arogozhnikov.github.io)
1 point by magoghm on Nov 2, 2018 | past
Reconstructing pictures with machine learning (demo) (arogozhnikov.github.io)
1 point by arogozhnikov on July 9, 2017 | past
Marching neural network (arogozhnikov.github.io)
113 points by signa11 on June 26, 2017 | past | 11 comments
Neural networks in 3d with webGL (arogozhnikov.github.io)
1 point by rcarmo on June 16, 2017 | past
Visualizing neural networks in 3D (arogozhnikov.github.io)
3 points by jonbaer on June 15, 2017 | past
Hamiltonian Monte Carlo explained (arogozhnikov.github.io)
3 points by dil8 on June 1, 2017 | past
Machine Learning in Science and Industry Slides (arogozhnikov.github.io)
3 points by sshb on April 22, 2017 | past
Hamiltonian Monte Carlo explained (arogozhnikov.github.io)
7 points by sebg on Dec 22, 2016 | past
Jupyter (IPython) notebooks features (arogozhnikov.github.io)
3 points by n-s-f on Sept 26, 2016 | past
Jupyter (IPython) notebooks features (arogozhnikov.github.io)
6 points by arogozhnikov on Sept 14, 2016 | past
Gradient Boosting Explained in 3D (arogozhnikov.github.io)
105 points by sshb on July 27, 2016 | past | 15 comments
Gradient Boosting Interactive Playground (arogozhnikov.github.io)
1 point by amplifier_khan on July 19, 2016 | past
Gradient Boosting Interactive Playground (arogozhnikov.github.io)
2 points by stared on July 18, 2016 | past
Reconstructing pictures with machine learning (arogozhnikov.github.io)
13 points by sshb on Feb 18, 2016 | past | 1 comment

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