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Deep-Learning-4-VB-NET/deeplearning4vb

43.8

Weak · 20 September 2026

586.7k

lines of production code

VB.NET

primary language

1

measurement over time

CAI band scale
CAI lens gauges

What this system is

DeepLearning4VB is a .NET port of the Java-based deeplearning4j library, implemented in Visual Basic .NET. It provides foundational utilities for array manipulation and mathematical operations, alongside integration test infrastructure for deep learning architectures like MLP, CNN, and RNN. The system is currently in a development phase, targeting .NET Framework 4.7.2.

Features

Initial release of DeepLearning4VB solution and documentation

This entry marks the first release of the DeepLearning4VB project, introducing the Visual Studio solution file (deeplearning4vb.sln) that defines the build configuration for the VB.NET deep learning library. The release also includes the initial README documentation, which clarifies that the codebase is a translation of the Java-based deeplearning4j library into VB.NET and notes that the project is currently in a development phase with known issues.

(repo-wide) · high confidence

Initial release of deeplearning4vb port

This commit introduces the initial codebase for the deeplearning4vb project, a .NET port of the deeplearning4j library. The diff adds foundational utility modules for array manipulation, collections, dates, math, and strings, alongside a comprehensive set of JMH benchmarks for nd4j operations (BLAS, array math, flattening) converted to Visual Basic.

(repo-wide) · high confidence

Test coverage

Added DL4J and SameDiff integration test infrastructure

Added new integration test suites and supporting utilities for the \dl4j-integration-tests\ module. This includes \IntegrationTestRunner\ and \IntegrationTestBaselineGenerator\ to execute and generate baseline data for Deep Learning4J (MultiLayerNetwork, ComputationGraph) and SameDiff models, along with specific test classes (\IntegrationTestsDL4J\, \IntegrationTestsSameDiff\) covering MLP, CNN, RNN, and unsupervised architectures.

deeplearning4vb/deeplearning4j/dl4j-integration-tests, deeplearning4vb/nd4j/nd4j-backends/nd4j-tests, deeplearning4vb/nd4j/samediff-import/samediff-import-tensorflow · high confidence

Dependencies

Initial project setup with .NET Framework 4.7.2 and System.Text.Encoding

The deeplearning4vb project has been initialized as a Visual Basic .NET application targeting .NET Framework 4.7.2. This setup includes the core source files for data handling and utility helpers, alongside a dependency on the System.Text.Encoding NuGet package (version 4.3.0) to support text encoding operations within the application.

(dependencies) · high confidence

Written by watchdog.canine.dev from the codebase's own history, inside the signed delivery this page is composed from.

How this codebase got here

Baseline

  • First survey — no prior run to compare against. CAI 44.

Lenses

  • Code Health 51
  • Architecture 78
  • Maturity 37
  • Readiness 36
  • Security 100
  • Domain Modelling 63

Changes since last survey

  • 7 commits — 7 feature/other, 0 fixes

By area

  • (root) — 6 commits
  • deeplearning4vb/nd4j — 1 commit

Notable commits

  • change: First release
  • change: Initial commit
  • change: Initial commit
  • change: Update README.md
  • change: Update README.md
  • change: Update README.md
  • change: Update README.md

Architecture

  • 0 containers · 1 bounded contexts · 0 dependency edges (baseline)

Written by watchdog.canine.dev from the codebase's own history, inside the signed delivery this page is composed from.

Survey your own repository

Deep-Learning-4-VB-NET/deeplearning4vb was measured the same way every project in this corpus was: the same rubric, at a pinned commit, with the result published in full. Point a surveyor at a repository you know and see whether you agree with it.

About this page

  • The score is its most recent published measurement, taken on 20 September 2026 at a pinned commit. It is not a live figure and does not change until the project is measured again.
  • Measured at commit 8d72f132197e9db9ca751006f0106aae9242f7c4 — the exact code this score is about.
  • Scored under rubric-2026.09.15 — the same rubric and the same method as every other entry in this index.
  • Measured by watchdog.canine.dev using codehealth-analyzer preprod-b51f968c9b10.