Spreads
Series and Panels for Real-time and Exploratory Analysis of Data Streams (by Spreads)
AForge.NET
AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc. (by andrewkirillov)
| Spreads | AForge.NET | |
|---|---|---|
| 15 | 1 | |
| 417 | 1,050 | |
| -0.2% | - | |
| 2.2 | 0.0 | |
| about 1 year ago | 3 months ago | |
| C# | C# | |
| Mozilla Public License 2.0 | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Spreads
Posts with mentions or reviews of Spreads.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-28.
-
Beautiful branchless binary search
Branchless or not in this case, it still touches memory in not so good pattern. I found that a significant speedup of a classic BS could be achieved by switching to linear SIMD search when the remaining range has a width of 3-4 SIMD lines (or maybe even a little more). The bounds of that range are likely already touched and in cache, then prefetching helps. It gives 30-50% gain on 1K items array of integers, 10-25% on 1M items, depending on data distribution. Here is an example in C#: https://github.com/Spreads/Spreads/blob/main/src/Spreads.Cor...
- Spreads: NEW Data - star count:384.0
- Spreads: NEW Data - star count:379.0
AForge.NET
Posts with mentions or reviews of AForge.NET.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Looking to read an image and find a red rectangle.
here is the code in case anybody has the same issue: utilizing AForge library C# - http://www.aforgenet.com/framework/
What are some alternatives?
When comparing Spreads and AForge.NET you can also consider the following projects:
Deedle - Easy to use .NET library for data and time series manipulation and for scientific programming
Accord.NET
encog-dotnet-core
Infer.NET - UAI 2015. Kernel-based just-in-time learning for expectation propagation
Accord.NET Extensions
m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
ML.NET - ML.NET is an open source and cross-platform machine learning framework for .NET.
TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.