3 votes

Automatic photo classification for desktop

Not a desktop Application as such but the Keras python Deep Learning library with OpenCV is now available pre-trained for image recognition there is a very good walk-through with all of the necessary ...
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3 votes

Software for arranging logical gates

I think this website (not a downloadable software) is similar to what you're asking. This is more of a digital IC trainer kit simulator. Been a long time since you've asked. Check it out if it is of ...
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  • 31
2 votes

Python libraries for clustering decimals

You can use the module sklearn.cluster from the Python library scikit-learn (free and open-source). E.g. if you want to use the k-means algorithm: import numpy as np from sklearn.cluster import ...
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2 votes

Open-source MLaaS

From Quora: There's a project called MLbase under development at UC Berkeley.  It's designed with distributed computing in mind, and another goal is to automatically (and somewhat efficiently) ...
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2 votes

Free SaaS machine learning that exports to PMML, with bayes, random forest, NN, SVM, and decision trees

Azure ML offers limited guest access (no credit card needed). BigML also provides: Ensembles of decision trees (bagging and random decision forests) for classification and regression tasks. ...
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1 vote

What python module to use for neural net application?

Keras with the Tensorflow backend: Docs MNIST Tutorial Installation As a beginner, I recommend NOT to use a GPU. Things will be way slower, but you will have an easier time with the installation. ...
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  • 2,311
1 vote

Is there any existing software which can read the data from LCD screen via camera and put it to CSV or any other machine readable format?

You can use a combination of OpenCV (to get the image and perform initial processing of it to do things like text localisation) and possibly OCR (e.g. Tesseract) to convert the text to any format that ...
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1 vote

Which python IDE would suit better for Multi agent reinforcement learning..?

What IDE you use is completely independent of the problem you want to solve (exceptions prove the rule). That being said, here is a list of python IDEs. (More information if you follow the link) ...
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  • 367
1 vote

Implementation of Similarity forest algorithm

I implemented this algorithm in Python: https://github.com/sfczekalski/similarity_forest My implementation includes not only binary classification, as in the paper, but also multiclass classification,...
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1 vote
Accepted

Easy-to-use AIML-compliant chat bot

Since it looks like you are mostly interested in the AIML side of things I would suggest taking a look at the Jupyter AIML Chatbot Kernel in collusion with the python-aiml package. This solution is: ...
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1 vote

Machine learning for traffic sign recognition

I would recommend using MATLAB for this kind of analysis. The documentation in MATLAB is superb, and they already have tutorials for doing just this sort of thing. MATLAB also allows you to do ...
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1 vote

Machine learning for traffic sign recognition

You should find some useful information in the article at https://autottblog.wordpress.com/programming-the-car/opencv/ which links to a repo. Also for anything OpenCV and Deep Learning I strongly ...
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1 vote

Time-tracking app with automatic classification

I've just found this question while searching, but also found this: https://timelyapp.com There's an "AI" function to determine what you worked on based on data from integrations with various apps, ...
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  • 111
1 vote

API to retrieve answers for general questions

There is Wolfram Alpha. This is essentially a search engine with significant internal intelligence. It has an API and can be embedded in web pages. Its output can be textual or graphical. ...
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  • 1,738
1 vote

Is there a software available which maps social networks?

Lost Circles (link to their website) is an extension for Google Chrome that maps your Facebook friends in a network. Link to the Google Chrome store My sales pitch The software is specifically aimed ...
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  • 373
1 vote
Accepted

Any easy-to-use Machine Learning application?

AzureML is an easy-to-use machine learning solution. It runs on Microsoft servers and features a drag and drop interface. Supports programming via Python and R. It has a free tier with usage limits (...
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1 vote

Open-source implementation of structured prediction methods

You could try PyStruct - while it is at an early stage it does cover only max-margin methods and a perceptron, but other algorithms might follow, and of course you are free to help extend it. Free, ...
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1 vote

Scikit learn for R

I like 'h2o'. It has: Aggregator Principal Component Analysis (pca) k-means Deep Learning Distributed Random Forest (rf) Gradient Boosted Machine (gbm) Generalized Linear model (glm) ...
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1 vote

Scikit learn for R

1. caret caret has been used by me with success: http://caret.r-forge.r-project.org/ 2. MLR There is also the MLR package: https://cran.r-project.org/web/packages/mlr/index.html From the site: ...
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  • 291
1 vote

Deep Belief Network Library

I am not familiar with Deep Belief Networks, but it looks like the word has evolved a little since this question was asked, and I found three alternatives are more or less relevant answers: In Matlab:...
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  • 1,640

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