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MJJ又开始撸谷歌的GCP了😇
按照全新邮箱号来说,注册+手工费<4元软妹币,贩子们注意了。
https://cloud.google.com/vertex-ai?hl=zh_cn
https://hostloc.com/thread-1311603-1-1.html
https://www.nodeseek.com/post-115133-1
按照全新邮箱号来说,注册+手工费<4元软妹币,贩子们注意了。
https://cloud.google.com/vertex-ai?hl=zh_cn
https://hostloc.com/thread-1311603-1-1.html
https://www.nodeseek.com/post-115133-1
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https://hiandrewquinn.github.io/til-site/posts/doing-is-normally-distributed-learning-is-log-normal/
hiandrewquinn.github.io
Doing is normally distributed, learning is log-normal
There are few things I think about more than the essays on gwern.net, and there are few with as satisfying a theoretical payout to contemplate in my orb as his essay on “leaky pipelines”, aka log-normal distributions.
The skulk: Say you’re working on a Laravel…
The skulk: Say you’re working on a Laravel…
tinygrad
极简主义的深度学习框架,旨在介于 PyTorch 和 micrograd 之间。其设计理念是简化框架,方便添加新加速器,支持推理和训练。Tinygrad 已支持多种加速器如 GPU、OpenCL、CUDA 等,能运行 LLaMA 和 Stable Diffusion。它提供了基本的自动求导和张量库,并有示例代码和文档指导使用
https://github.com/tinygrad/tinygrad
极简主义的深度学习框架,旨在介于 PyTorch 和 micrograd 之间。其设计理念是简化框架,方便添加新加速器,支持推理和训练。Tinygrad 已支持多种加速器如 GPU、OpenCL、CUDA 等,能运行 LLaMA 和 Stable Diffusion。它提供了基本的自动求导和张量库,并有示例代码和文档指导使用
https://github.com/tinygrad/tinygrad
GitHub
GitHub - tinygrad/tinygrad: You like pytorch? You like micrograd? You love tinygrad! ❤️
You like pytorch? You like micrograd? You love tinygrad! ❤️ - tinygrad/tinygrad
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