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- [x] [Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour](https://arxiv.org/abs/1706.02677) by **Facebook** 👉 [mynote](https://github.com/towerjoo/myML/blob/master/papers/weekly/train_ima…
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This implementation does not seem to be correct comparing with the formulation in the original paper.
Your implementation seems to be matching the gradient of the loss wrt to the parameters of the te…
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# Score Based Generative Modeling – Review of latest Score Based Generative Modeling papers
Review of latest Score Based Generative Modeling papers
[https://scorebasedgenerativemodeling.github.io/](…
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### 总概
1. high low level task 结合可以分为两种:1)利用高级任务去辅助低级任务 2)研究低级任务输出如何更好服务后续高级任务
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Very interesting idea 💡 of extracting DAGs from Text (DEFT)! So I want to do some experiments with this code.
Running the notebook (short story case) locally of 2 of my PC’s seems to hang in the Da…
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微博内容精选
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### Report
Hi Soufiane, the scVI training runs no problem, but the KRR gives the following error:
```
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NotImplemented…
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Example: https://mila.quebec/en/publications/
It would be nice to reuse the same code as in the Mila website. Not sure if that's 'easily' possible via RTD
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mxnet currenlty only supports calculating the gradient of a loss constructed via chaining `mxnet.symbol`'s. This is unfortunately not enough to implement some more advanced training methods, such as t…
leezu updated
5 years ago
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to foster community involvement - some richer sample code beyond MNIST should be tackled.
Generative Adversarial Networks is a hot topic amongst ML - and some sample code using swift should help enco…