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Alice's Adventures in a Differentiable Wonderland -- Volume I, A Tour of the Land

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Wed May 1, 2024 06:34
Keras and TF Bering unpredictable on RStudio windows… [D]

Keras and Tensorflow unpredictable in RStudio So I am really trying to get this to work, and it has been working! But now it suddenly doesn’t??? I don’t get it anymore, simple code I was writing along to the Deep learning with R book no turns up error messages (probably installation related). Not only that, sometimes I install using the same code I...

Wed May 1, 2024 06:34
[D] Lagrangian NN w Large Dataset

I am trying to use a Lagrangian NN on a large medical dataset with 50+ features with one output col, A. How feasible is that? I feel like it loses some purpose in using LNN but am confident it may work. B. How do I get a Lagrangian NN to work on such a large dataset? It seems as though most LNNs I am seeing only have one input and one output col, but...

Wed May 1, 2024 03:33
[D] Looking for open source projects to contribute to

Any suggestions for good open source projects? I want to grow my python and machine learning skills. Would also like to show off my Frontend + Backend knowledge. Tech I am interested in using: TS, Go, Python My background: majored in Statistics, last 4 years worked as a fullstack as a blockchain engineer. Spent most of my time on the Frontend. ...

Wed May 1, 2024 00:33
[D] Focal Loss for CatBoost

Hi, I'm trying to implement Focal loss in Catboost for both binary and multiclass classification problems. I searched the internet, but I wasn't able to find any inbuilt or third-party package that does so (I was able to find a few packages for LightGBM but not for Catboost or XGBoost), so the next method is to implement a custom loss function in Catboost,...

Wed May 1, 2024 00:33
[D] Blending PtrNets with Qlearning for combinatorial optimization

Hi guys, I'm an undergrad student of eng. and ML enthusiast. Few months ago, I made an *individual* (and not related to uni) project which consisted of blending PtrNet s2s modeling and Q-learning (for decision making) in order to find orienteering problems' optimal solution. I was happy about the outcome, so I decided to write about it and then to make...

Wed May 1, 2024 00:33

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