Cortex.Vectors 2.1.0

Cortex.Vectors 🧠

Cortex.Vectors is a High‑performance vector types—Dense, Sparse, and Bit—for AI & for .NET.

Built as part of the Cortex Data Framework, this library offers High‑performance vector types—Dense, Sparse, and Bit—for AI for:

• ✨ Generic‑math powered (IFloatingPointIeee754<T>): works with float, double, decimal, …
• 🟢 DenseVector – contiguous storage, SIMD‑friendly operations
• 🔵 SparseVector – dictionary‑backed, memory‑efficient for huge, mostly‑zero spaces
• 🟡 BitVector – bit‑packed booleans with popcount & logical ops
• ⚙️ Core ops out‑of‑the‑box: dot product, L2 norm, cosine similarity, scaling, +/‑

🚀 Getting Started

Install via NuGet

dotnet add package Cortex.Vectors

DenseVector

using Cortex.Vectors;

// (1, 2, 3)
var a = new DenseVector<float>(1f, 2f, 3f);

// (0.5, 0.5, 0.5)
var b = DenseVector<float>.Filled(3, 0.5f);

float dot       = a.Dot(b);          // = 3.0
var   normA     = a.Norm();          // ≈ 3.7417
var   unitA     = a.Normalize();     // unit length
float cosine    = a.CosineSimilarity(b);

SparseVector

using Cortex.Vectors;
using System.Collections.Generic;

// 1‑million‑dimensional vector with two non‑zeros
var sv = new SparseVector<double>(
    dimension: 1_000_000,
    nonZero: new[]
    {
        new KeyValuePair<int,double>(42,      1.0),
        new KeyValuePair<int,double>(123456,  2.5)
    });

double l2   = sv.Norm();        // √(1² + 2.5²)
var    unit = sv.Normalize();

BitVector

using Cortex.Vectors;

// length 128, bits 0, 3, and 5 set to 1
var bv = new BitVector<float>(128, new[] { 0, 3, 5 });

int   ones   = bv.PopCount();   // 3
float selfDot = bv.Dot(bv);     // 3.0 (generic type ⇒ float)
var   l2      = bv.Norm();      // √3

💬 Contributing

We welcome contributions from the community! Whether it's reporting bugs, suggesting features, or submitting pull requests, your involvement helps improve Cortex for everyone.

💬 How to Contribute

1. Fork the Repository
2. Create a Feature Branch

git checkout -b feature/YourFeature

3. Commit Your Changes

git commit -m "Add your feature"

4. Push to Your Fork

git push origin feature/YourFeature

5. Open a Pull Request

Describe your changes and submit the pull request for review.

📄 License

This project is licensed under the MIT License.

📚 Sponsorship

Cortex is an open-source project maintained by BuilderSoft. Your support helps us continue developing and improving Cortex. Consider sponsoring us to contribute to the future of resilient streaming platforms.

How to Sponsor

• Financial Contributions: Support us through GitHub Sponsors or other preferred platforms.
• Corporate Sponsorship: If your organization is interested in sponsoring Cortex, please contact us directly.

Contact Us: cortex@buildersoft.io

Contact

We'd love to hear from you! Whether you have questions, feedback, or need support, feel free to reach out.

• Email: cortex@buildersoft.io
• Website: https://buildersoft.io
• GitHub Issues: Cortex Data Framework Issues
• Join our Discord Community:

Thank you for using Cortex Data Framework! We hope it empowers you to build scalable and efficient data processing pipelines effortlessly.

Built with ❤️ by the Buildersoft team.