awesome-gradient-boosting-papers VS SharpLearning

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

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awesome-gradient-boosting-papers SharpLearning
1 1
981 374
- -
3.7 4.4
about 2 months ago 19 days ago
Python C#
Creative Commons Zero v1.0 Universal MIT License
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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.

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.

What are some alternatives?

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

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.

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

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

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

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..)

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

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

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

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

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