Is there any actual value in doing quantitative finance via TF as opposed to just Pandas? I get that calculating a zillion option prices on a GPU is faster, but does anyone actually do that? Not to mention that dataframes (both conceptually, and in practice) seem much more mature and easier to grok than tensors.
Appears to be the result of an Area120 incubated project: <a href="https://avera.area120.com/" rel="nofollow">https://avera.area120.com/</a>
I understand that this is google's library, and they're promoting TensorFlow's usage, and subsequently the usage of TPU's.<p>But this can just as easily be done in Pytorch right? Yes we can't have GPU's there but having your model train 50% slower (exaggeration) is better than having to spend 150% of the time taken in Pytorch to debug anything in TensorFlow.<p>I may be beating a dead horse here, but why doesn't google just accept that TensorFlow needs to be redesigned for more ease of use?<p>Can anyone point out the benefits of TensorFlow over Pytorch (besides TPU's) ? It's been a few years since I've used TF and I may have missed something.
Is this using floating point numbers under the hood? There is a lot you can do with floating point, but for some of what I've worked on you really do want fixed precision types.
I wonder why they are not using the in-built numpy api - <a href="https://www.tensorflow.org/guide/tf_numpy" rel="nofollow">https://www.tensorflow.org/guide/tf_numpy</a><p>This will be accelerated by Tensorflow - which means acceleration on Macbook M1 as well
We tried to use Tensorflow's native C++ library to run some predictive model in real time on CPU-only. The performance sucked, even though the model was not particularly complex.<p>My advice would be to only use Tensorflow with the python wrappers. It's just too complex.
Hi, I have a need to know the price of Liquidity Pool shares without relying on many oracles and multiple ABI calls<p>Liquidity pool shares are asset backed by at least two other assets<p>Can Tensorflow help me with keeping pricing?
Right now, it looks like a fun project of students who got their hands on Andersen/Piterbarg, Brigo/Mercurio and the QMC part of Glasserman. I wonder what their real goal is with this.