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@@ -148,16 +148,16 @@ In this example, we demonstrate the use of a mixture of distributions using our
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| Task | Deadline | Assignee |
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| ---- | ---- | ---- |
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| Construct a basic example of a Normal class with an rsample method that supports backpropagation. | 22.10 | Zabarianska |
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| Construct a basic example of a Normal class with an rsample method that supports backpropagation. | 22.10 | Babkin |
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| Test usability of the library in VAE on MNIST. | 22.10 | - |
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| Compare results with explicit reparametrization trick. | 22.10 | - |
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| Prepare a draft of documentation. | 28.10 | Nikitina |
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| Prepare a draft of blogpost. | 28.10 | Kreinin |
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| Prepare a draft of blogpost. | 28.10 | Zabarianska |
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| Expand the class Normal and prepare distributions Dirichlet and Mixture. | 12.11 | Zabarianska, Kreinin, Nikitina |
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| Try to implement class Factorized. | 12.11 | Babkin |
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| Implement class Student's in case of failure. | 12.11 | Babkin |
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| Wrap project into a library. | 12.11 | Nikitina |
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| Write unit tests for different distribution, try to cover all cases. | 12.11 | Kreinin |
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| Prepare a demo. | 19.11 | Babkin |
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| Prepare a demo. | 19.11 | Kreinin |
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| Expand documentation for our code. | 19.11 | Nikitina |
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| Prepare a blog-post. | 19.11 | Kreinin |
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| Prepare a blog-post. | 19.11 | Zabarianska |

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