Questions tagged [software-recommendation]

Recommendations for software or libraries.

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Which software should I use to draw graphs of models in a machine learning paper?

I am new to machine learning and don't quite know the necessary softwares for paper writing. For example, this graph From the paper https://aclanthology.org/2020.emnlp-main.676.pdf
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Tools / tech stack for generating metrics and insights for games

We run a games platform with millions of users (+- 150,000,000 gameplays / month). We want to find tools or set up a data stack to: collect basic metrics for a specific game such as average gameplay ...
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I need direction for a research project

I am new to machine learning so please bare with me. I'll try to keep this short and sweet. We are building a makeup simulation and recommendation system. My part is to recommend a makeup which is ...
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Should the type of Boolean categorical features be numerical or categorical after encoding?

There are categorical features which have two different value in my dataframe next to numerical features. I've converted these categorical values to 0 or 1. I will apply correalation elimination on ...
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Train-Test split for a recommender system

In all implementations of recommender systems I've seen so far, the train-test split is performed in this manner: ...
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2 answers
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Drawing Neural Network diagram for academic papers

Is there any tool that one can use to draw neural network architecture diagram for research papers? Example diagram:
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How to draw neural network diagrams with this particular style?

I would like to draw a neural network architecture with the follow style. Do you know which tool can be used to do this? The paper is Operation-aware Neural Networks for User Response Prediction.
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2 votes
3 answers
1k views

R Studio like editor for Python?

I hope this question is okay for the forum. I want to ask for your experiance with Python editors. Currently, I use VS-Code to work with Python. However, in R Studio I really appreciate that it ...
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Software for automated database processing

I faced a problem which I'd like to solve w/o any programming. And looking for a software to do this. I have a dataset, for example: (brand-id, brand-name, product-class-name;) ...
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Python, Tkinter, Application packaging and distributing with custom packages

I have built an application on Tkinter in Python 3 and I want to package that application with all the dependent packages. I would want to build the .exe application of my python script that installs ...
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Annotation tool for classification experiments

What tools are available that provide an interface to present text classification results? I need to keep and compare the results of different classification algorithms for unsupervised data. The tool ...
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3 votes
1 answer
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Are there any very good APIs for matching similar images?

I am working with Python. I have 3000 thousands images of front-faced watches like the following ones: Watch1, Watch2, Watch3. I want to find an API which receives this collection of photos or even ...
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Are there any good NLP APIs for comparing strings in terms of semantic similarity?

I want to create a chatbot which informs the user about traffic at the streets but not in real-time for the moment. I have created a small database with MySQL which has some data stored regarding ...
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Are there neural networks packages that use complex numbers?

Can you build complex (in terms of complex numbers) neural networks in Keras or Tensorflow or something similar? This would mean the inputs, weights, activation functions, and outputs would all ...
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7 votes
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Can I get numeric data from a color map?

In my class I often need to work with color map images. I would show the image and try to make inferences/observations about different subjects. Often times I need to actually quantify some aspects, ...
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1 vote
1 answer
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Implementation of reliable rule learning

I want to perform "reliable rule learning", i.e. mining a set of rules with a very low number of false negatives. I recently read the paper "Reliable agnostic learning" by Kalai et al. (https://doi....
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3 answers
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What are the disadvantages of Azure's ML vs a pure code approach (R/SKlearn)

Good Day, Microsoft offers their Azure Machine Learning Platform: https://azure.microsoft.com/en-ca/services/machine-learning/ Azure Machine Learning is designed for applied machine learning. Use ...
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1 answer
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Need some help on data mining platform recommendation

Currently I need one data mining platform (or solution) meets such requirements: Data Source I can import data from: CSV, MySQL, PostgreSQL, HDFS. Optional: NoSQL, MongoDB. Interface I can ...
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How to create a training set for sequence labelling

I have a bunch of unlabeled text data that I would like to hand label. Are there any tools out there that you can use to produce your own labels? Ideally it would show a sentence at a time and give me ...
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Tool for visualizing long time series data

I am searching for a software / tool / R package (any of these) that enables easy visualization of a time series. My problem is the following: I have a multiple time series with 7 attributes I want ...
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24 votes
7 answers
10k views

Sharing Jupyter notebooks within a team

I would like to set up a server which could support a data science team in the following way: be a central point for storing, versioning, sharing and possible also executing Jupyter notebooks. Some ...
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179 votes
6 answers
291k views

How to draw Deep learning network architecture diagrams?

I have built my model. Now I want to draw the network architecture diagram for my research paper. Example is shown below:
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1 vote
1 answer
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software for workflow integrating network analysis, predictive analytics, and performance metrics [closed]

I am hoping that there is some existing software for what I want to accomplish, as I'm not a big fan of reinventing the wheel. In general, I would like a software package that can serve as a workflow ...
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8 votes
2 answers
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Is there an alternative to nltk in golang?

Golang is one of my favourite languages and I want to use it for a personal NLP/ML project. Is golang's ecosystem good and rich enough for this? Is there an alternative package for nltk in golang?
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9 votes
5 answers
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Convolutional Neural Networks in R

I don't see a package for doing Convolutional Neural Networks in R. Has anyone implemented this kind of algorithm in R?
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2 votes
3 answers
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Is there an easy to use .net library for neural networks?

I know 'easy to use' is going to be subjective, so let me qualify the question a little. Is there a library or working scrap of code that I can essentially copy into my project, change the number of ...
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9 votes
7 answers
15k views

Python library that can compute the confusion matrix for multi-label classification

I'm looking for a Python library that can compute the confusion matrix for multi-label classification. FYI: scikit-learn doesn't support multi-label for confusion matrix) What is the difference ...
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1 vote
2 answers
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Dealing with big data

I am on a project dealing with a lot of data in the form of images and videos (Data related to wind engineering). My requirement is to build a predictive algorithm based on the data I have. I have ...
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2 votes
2 answers
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Building Recommendation engine with Python

Which all are the equivalent or advanced libraries in Python for building recommendation systems like Mahout for Collaborative Filtering and Content Based Filtering ? Also is there a way to ...
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18 votes
2 answers
33k views

Multivariate linear regression in Python

I'm looking for a Python package that implements multivariate linear regression. (Terminological note: multivariate regression deals with the case where there are more than one dependent variables ...
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24 votes
5 answers
31k views

Python library for segmented regression (a.k.a. piecewise regression)

I am looking for a Python library that can perform segmented regression (a.k.a. piecewise regression). Example:
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3 answers
281 views

What commercial software should a data scientist purchase?

I am setting up a work computer and have free reign here. My typical go-to software packages are all freely available, such as Rstudio and Anaconda. I have thought about investing in commercial BI ...
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1 answer
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Python library to compute some metrics for multioutput-multiclass classification task

Is there any Python library that provides ready-to-use metrics to analyze the performance of a classifier for a multioutput-multiclass classification task? scikit-learn doesn't have this option yet (...
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2 votes
2 answers
3k views

Program to fine-tune pre-trained word embeddings on my data set

I am looking for a program that would allow me to fine-tune pre-trained word embeddings on my data set. Ideally, open source and working on Linux or Windows.
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4 votes
2 answers
1k views

Do you need a virtual machine for data science?

I am brand new to the field of data science, want to break into it, and there are so many tools out there. These VMs have a lot of software on them, but I haven't been able to find any side-by-side ...
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