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# DATAIDEA - GridSearchCV
GridSearchCV is a method in the scikit-learn library, which is a popular machine learning library in Python. It’s used for hyperparameter optimization.
[http://localhost:63…
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It would be a python SDK to front end model conversion and compilation.
And take a look at KUBEFLOW for inspiration -- we have images built for system Z, but no end-to-end test of this yet. https:…
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(rlxintong) hgdx@hgdx-System:~/RLBench/examples$ python imitation_learning.py
Traceback (most recent call last):
File "imitation_learning.py", line 40, in
demos = np.array(demos).flatten()
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
### Ultralytics YOLO Component
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## Description
Implement MNIST dataset using Convolutional Neural Networks (CNNs). Use Max Pooling Layers, Conv2d layers, Dense layers.
Use your own strategy and try to achieve the maximum possible …
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hello,dear author, do you have the python version of this algorithm? If so, can you tell me? Many thanks!looking forward to your reply...
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**Describe the bug**
There is no python library exists for both chapter 11 and 15.
**Additional context**
These library require to understand implementation and learning.
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**What would you like to be added/modified:**
This issue aims to achieve federated incremental learning in the case of sparse samples in KubeEdge-Ianvs, combining the advantages of existing federat…
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What we want to compare:
**Deep Learning Libraries**
* R: torch
* R: mlr3torch
* python: pytorch
**Dataset**: guess the corellation -> regression problem
**Device**: cpu and cuda
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### Testing Python Applications
**Status:** FALL
**Description:** Improve the maintainability and quality of your code. Attendees will become familiar with automated testing.
**Learning Obj…