novak-99/MLPP

Health v2 · maintenance only

Adoption not part of the score

1108 stars · 152 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

ML++ is a C++ machine learning library providing regression models, dynamically sized neural networks, statistics, and optimization algorithms. It aims to make C++ a viable front end for machine learning by bridging low-level development and ML engineering.

Use cases

• train machine learning models in c++
• build neural networks with c++
• linear and logistic regression in c++
• implement gradient descent from scratch
• statistics and linear algebra for c++ data science
• avoid python for machine learning workloads

When to choose

• you need ML in a C++ codebase or performance-critical native application
• you want a lightweight dependency with no Python runtime
• you are learning ML internals and want readable C++ implementations

When to avoid

• you need a mature production ecosystem with GPU acceleration and tooling like PyTorch
• you want transformers, LLMs, or modern deep learning architectures
• you need frequent updates and large community support

Facets

library · maturity maintenance

machine-learning deep-learning data-science math machine-learning deep-learning data-science cpp cross-platform header-only-style neural-networks regression statistics gradient-descent c++17 linux macos

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