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Apologies if I am writing this under the wrong heading. This is not a bug report. I have a few questions regarding running a causal forest, particularly with a very small sample size (n less than 300)…
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○ Time: 6 weeks
○ Tools Required: Scikit-learn, TensorFlow, PyTorch (within Azure AI Studio or Microsoft Fabric)
○ Steps:
1. Define model requirements and objectives.
□ Utilize histor…
zepor updated
1 month ago
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ONNX export (e.g. with https://onnx.ai/sklearn-onnx/ ) would be very beneficial for deploying trained models to any environment and programming language. Do you have such export options considering ON…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Flood Prediction Using Machine Learning
:red_circle: **Aim** : To develop machine learning models for …
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@ayeshafalak is this issue suitable for LGM -SOC, if yes please assign it to me and suggest if you have a better issue to work on.
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A machine learning model to predict the best suitable crop to grow on a particular piece of land based on different factors like humidity, ph, rainfall.
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Once
https://github.com/pombase/pombase-chado/issues/1195
done, compare
signalP (
Phobius (could use the InterPRoAPI for this)
DeepSig?
and decide thresholds to use to get best coverage. …
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**Is your feature request related to a problem?**
### Problem Statement
The current implementation of the ML Inference Search Response Processor in OpenSearch 2.16 supports many-to-one inference, …
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Develop machine learning algorithms and models for tasks such as prediction, classification, or recommendation.
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### 🚀 The feature, motivation and pitch
I propose the addition of a conformal prediction framework to the PyTorch library. This framework would include the implementation of split conformal predictio…