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Transfer learning can significantly improve model performance with less training data. Adding examples using pre-trained models (e.g., VGG16, ResNet) for tasks like image classification or feature ext…
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Traceback (most recent call last):
File "E:\Anaconda\envs\Machine-Learning\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "E:\Anaconda\envs\Machine-Learning\lib\…
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Hello
Suppose i have started training an nnDetection model fixing the no of epochs to 100. Later if i want to resume training beyond 100 epochs, can i update the code and resume the training with…
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The project does not contain a `requirements.txt` file or a `pyproject.toml` file, making installation inherently difficult. Combined with the complex nature of machine learning applications this comp…
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**Description:**
Hello DeepSensor community,
While working with the `GreedyAlgorithm` class in the `deepsensor.active_learning.algorithms` module, my colleague and I noticed that several [paramete…
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As the library starts to have more users, the need for a more complete documentation and examples naturally emerges, as seen in #175 and #187. For this reason, this issue aims at showing more than the…
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## Feature request
From the [doc of encrypted training](https://docs.zama.ai/concrete-ml/built-in-models/training), only `SGDClassifier` is mentioned. I would like to train other ML/DL models on encr…
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Databricks has its own packge for running Deep Learning on Spark: https://github.com/databricks/spark-deep-learning
Wondering if MLeap supports this or not?
Thanks!
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## Summary
I'm interested in learning if/how it would be possible to fit an `glm-hmm` (i.e. `LogisticRegressionHMM`, `CategoricalRegressionHMM`) with a jagged input list (i.e. a list whose elements…
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Hello teams,
I'm trying to extract the data for the machine learning training. The dataset extractor opens the vrs files many times. I want to avoid the log output when a provider is created. `e.g.…