Know what errors lurk in your code? Automatically know what’s broken and why with Rollbar. Rollbar instantly detects when code breaks and provides the source code and state to help you defeat impactful errors. LibHunt users get 100,000 errors monitored for free.
» Learn more from our partner.
» Learn more from our partner.
11 Machine Learning and Data Science packages and projects
-
Accord.NET
9.5 9.6 L2 C#Machine learning framework combined with audio and image processing libraries (computer vision, computer audition, signal processing and statistics). -
F# Data
6.2 7.6 HTMLF# type providers for accessing XML, JSON, CSV and HTML files (based on sample documents) and for accessing WorldBank data -
AForge.NET
5.7 2.2 L2 C#Framework for developers and researchers in the fields of Computer Vision and Artificial Intelligence (image processing, neural networks, genetic algorithms, machine learning, robotics). -
numl
5.7 6.3 L3 C#Designed to include the most popular supervised and unsupervised learning algorithms while minimizing the friction involved with creating the predictive models. -
Deedle
5.6 0.0 F#Data frame and (time) series library for exploratory data manipulation with C# and F# support -
Accord.NET Extensions
5.6 0.0 L5 C#Advanced image processing and computer vision algorithms made as fluent extensions. -
R Provider
4.1 0.0 F#Type provider that exposes R packages and functions in a type-safe way to F# callers -
Spreads
3.5 9.0 C#Series and Panels for Real-time and Exploratory Analysis of Data Streams. Spreads library is optimized for performance and memory usage. It is several times faster than other open source projects. -
Infer.NET
1.7 1.2 MatlabA framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. [Proprietary] [Free] [Research]
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest. Visit our partner's website for more details.