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Hi @amrane99 ,
Thank you for this great library!
I'm interested in testing the LwF strategy using your library. I have two datasets (711, 713) that are in the right format, planned and preproc…
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Dear Mr. Ye,
I am happy to meet you at this project through your masterpieces, [Learning Latent Representations Across Multiple Data Domains Using Lifelong VAEGAN](https://link.springer.com/chapter…
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**What would you like to be documented**:
Sedna python SDK documentation regarding life long learning-feature example
**Why is this needed**:
1. Due to the life-long learning feature. It needs…
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Hi,
To calculate the value of weight_regularizer & dropout_regularizer the dataset_size N is used. What if we don't know the dataset size in advance like in case of Lifelong Reinforcement learning …
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The organizational data branch of the taxonomy presently has Student Data, Educator Data, and Institutional Data. But this division is based on a conventional model of students attending a school with…
bredd updated
4 years ago
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Hello,thanks for your excellent work.I want to compute the topic coherence.But i don't know how to get the topic-word matrix,could you please tell me how to get it?
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While moving the movable platform with PoseGoals over rviz results in good paths, doing the same with over the Python API works a lot worse. The platform takes detours, fails pose goals and starts unn…
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**What would you like to be documented**:
- TUTORIAL: instructs users to customize their own cases.
- FAQ: records frequently asked questions and corresponding solutions.
**Why is this needed…