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### Overview
This analysis can later be applied to build a recommendation system in the OpenVirome app and paper for suggesting indirectly related viromes. The embeddings can also be used to create u…
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@tdhock this is the outline of my new paper, can you give me some feedbacks
# Learning Penalty Parameters for Optimal Partitioning via Automatic Feature Extraction
## Abstract
Changepoint detec…
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Similar what @ncaradot found for Python is available for R:
https://cran.r-project.org/web/packages/shapr/vignettes/understanding_shapr.html
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您好，冒然打扰，非常抱歉。
见您在CoSMIG的code下面有询问论文作者关于DGIdb数据集上inductive情况下的和论文结果有出入的事情，
1）您是直接使用作者github公开的code吗，还是说有找作者要的code呢
2）关于inductive的数据集，是作者发您了inductive和transductive两种情况下的数据划分吗
期待您的回复，万分感谢！！
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Problem Description:
Developing a new machine learning model for improving the accuracy and performance of stock price predictions. The challenge lies in modeling the highly volatile nature of stoc…
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Author
Name: Gökan Kaya
Affiliation: FH Kufstein
Keywords
Chronic Kidney Desease, SVM, Pre-Processing, Classification
Abstract
Chronic kidney disease, also known as Chronic Kidney Diseas…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Hair Type Classification using Deep Learning
:red_circle: **Aim** : To build an model for classifying …
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Gold Price Prediction is a project that involves forecasting future gold prices using historical data and various machine learning or time series analysis techniques. The goal of this project is to bu…
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Hello there,
**Is your documentation request related to a problem? Please describe.**
I've been having difficulty in wrapping my pytorch forecasting models to use with your library. While I hav…
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Hi @bdrhtw, thanks for open-sourcing this great work. I have a question about the **Random_shift_augmentation** in training. Is this augmentation only applied during the video prediction stage, or is …