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299 | 299 | "source": [ |
300 | 300 | "## Neural PDE\n", |
301 | 301 | "\n", |
302 | | - "This whole section has been designed based on [an article](https://towardsdatascience.com/solving-differential-equations-with-neural-networks-afdcf7b8bcc4) from [Mario Dagrada](https://twitter.com/MarioDagrada)\n", |
303 | | - "\n" |
| 302 | + "### References\n", |
| 303 | + "* This whole section has been designed based on [an article](https://towardsdatascience.com/solving-differential-equations-with-neural-networks-afdcf7b8bcc4) from [Mario Dagrada](https://twitter.com/MarioDagrada)\n" |
304 | 304 | ] |
305 | 305 | }, |
306 | 306 | { |
|
317 | 317 | "cell_type": "markdown", |
318 | 318 | "metadata": {}, |
319 | 319 | "source": [ |
320 | | - "And [this](https://docs.sciml.ai/NeuralPDE/stable/) amazing website/github project that I also forked. You will also find a basic introduction to neural PDE, and why normalizing flows are useful for those type of models in the NormalizingFlows notebook." |
| 320 | + "* Also [this](https://docs.sciml.ai/NeuralPDE/stable/) amazing website/github project that I also forked. You will also find a basic introduction to neural PDE, and why normalizing flows are useful for those type of models in the NormalizingFlows notebook.\n", |
| 321 | + "\n", |
| 322 | + "* Nvidi []()" |
321 | 323 | ] |
322 | 324 | }, |
323 | 325 | { |
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