SharpLearning VS awesome-gradient-boosting-papers

Compare SharpLearning vs awesome-gradient-boosting-papers and see what are their differences.

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SharpLearning awesome-gradient-boosting-papers
1 1
374 981
- -
4.4 3.7
22 days ago about 2 months ago
C# Python
MIT License Creative Commons Zero v1.0 Universal
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SharpLearning

Posts with mentions or reviews of SharpLearning. We have used some of these posts to build our list of alternatives and similar projects.
  • NLP/ML in C#. Advice?
    1 project | /r/csharp | 14 Aug 2021
    We also a classification task where we use deep learning. In this case we used a library called SharpLearning. It works pretty well and lets you build your NN via code as you would do with Python.

awesome-gradient-boosting-papers

Posts with mentions or reviews of awesome-gradient-boosting-papers. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing SharpLearning and awesome-gradient-boosting-papers you can also consider the following projects:

arcgis-rest-dotnet - Open source rest wrapper library for consuming arcgis api.

Unredactor - In this project we are tryinbg to create unredactor. Unredactor will take a redacted document and the redacted flag as input, inreturn it will give the most likely candidates to fill in redacted location. In this project we are only considered about unredacting names only. The data that we are considering is imdb data set with many review files. These files are used to buils corpora for finding tfidf score. Few files are used to train and in these files names are redacted and written into redacted folder. These redacted files are used for testing and different classification models are built to predict the probabilies of each class. Top 5 classes i.e names similar to the test features are written at the end of text in unreddacted foleder.

ketum - Open-Source and Cross-Platform Web / API Monitoring Tool

awesome-fraud-detection-papers - A curated list of data mining papers about fraud detection.

JsonObject.cs - c# read/write json without dependencies

Intrusion-Detection-System-Using-Machine-Learning - Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

initiative-opensource-release - Open source, CC0-licensed projects and cool assets for free from Polygonal Mind

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

cecilifier - A tool aiming to make it a little bit easier to learn Mono.Cecil

stidler - Error support for **idlesteam.com**