Abolfazl Madani

@abolfazl_madani

Neuroscience, Deep learning.Quantum Machine Learning. Linux Professional, Java, Javascript

Vancouver, British Columbia
Vrijeme pridruživanja: prosinac 2015.

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    3. velj

    Given that data loading can be a major bottleneck in many DL projects, this sounds like an interesting project to check out: "Accelerating Pytorch with Nvidia DALI" --> "on small models it's ~4X faster than the Pytorch dataloader"

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    3. velj

    Added ImageNet validation results for 164 pretrained models on several datasets, incl ImageNet-A, ImageNetV2, and Imagenet-Sketch. No surprise, models with exposure to more data do quite well. Without extra, EfficientNets are holding their own.

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  3. proslijedio/la je Tweet
    3. velj

    Nature Reviews Neuroscience April 2018 The basal ganglia and the cerebellum: nodes in an integrated network

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  4. proslijedio/la je Tweet
    2. velj

    What are lambdas and how are they used?

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  5. proslijedio/la je Tweet
    31. sij
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    31. sij
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  7. 24. sij
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  8. 23. sij

    It’s my pleasure to annouce you my new course that name is Python for Data Science in Neuroscience

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  9. 19. sij
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  10. 19. sij
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  11. 19. sij
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  12. 17. sij
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  13. 7. sij
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  14. 7. sij
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    &Yoshua & thanks 4t interesting ! & I analyzed tweeter data 1 week before & after t debate (as our holiday mini-project😉) I'll explain t overall results here: codes &protocol r avail @ my GitHub 1/4

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  16. 30. pro 2019.
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  17. proslijedio/la je Tweet
    29. pro 2019.

    Six key concepts of writing efficient methods in .

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  18. 29. pro 2019.

    "Differentiable Convex Optimization Layers" CVXPY creates powerful new PyTorch and TensorFlow layers

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  19. 27. pro 2019.
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  20. 25. pro 2019.
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