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Since scientific data is often an approximation to a continuous function, when we write mean() or sum(), our underlying intention is often to approximate an integral. For example, if we have temperat…
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Hello,
I read your amazing article about network interpretability methods. In fact, I try to visualize ResNet recently via Guided-Back.
But I found there are some troubles when I handle the Batch N…
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```python
r = fluid.data.mnist.train()
W = fluid.Tensor()
b = fluid.Tensor()
with fluid.While(iters=100):
mb = r.next()
x = fluid.layer.data(mb.image)
l = fluid.layer.data(mb.…
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Can you very briefly explain the hypothetical importance scores that accompanies importance scores in the TF MoDISco TAL GATA example? Are these the sequences with randomized importance scores?
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So I have a model which runs fine on a CPU, tested on several platforms. For various reasons I needed the latest Theano branch. Running the code on the GPU I get:
```
File "bin/run.py", line 58, i…
botev updated
6 years ago
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Use BLAS Batch computation as a model.
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Thanks for the great library!
I'm having issues with convergence in a problem with ~150 dimensions. I've created a toy problem in [this notebook](https://github.com/joshspeagle/dynesty/files/213882…
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It would be nice to have a method to train a model in distributed mode.
Currently, the only way to distribute the model training is by using colmaker, which loads the memory in all the nodes and does…
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Original [issue 160](https://code.google.com/p/pychess/issues/detail?id=160) reported by [mimoohowy](https://code.google.com/u/mimoohowy/) 2007-03-25
I like the project and would like to contribute. …
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I finished coding up and benchmarking the `limbdark` equations in `starry` on the [limbdark branch](https://github.com/rodluger/starry/tree/limbdark). I'm finding several issues with the `julia` imple…