DLib
dlib.net/imaging.htmldlib provides C++ libraries for image processing, machine learning, and related algorithms.
Looking for something like Accord.NET? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 14 are open source.
Accord.NET combines machine learning with audio and image processing libraries in a C# framework.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | DLib | — | Not stated | Web |
| 2 | mlxtend | — | Not stated | — |
| 3 | Jupyter Notebook | — | Not stated | Web |
| 4 | astroML | — | Not stated | Web |
| 5 | Vaex | — | Not stated | Web |
| 6 | MLDB | — | Not stated | Web |
| 7 | Netron | — | Not stated | Web |
| 8 | OpenCV | — | Not stated | Web |
| 9 | ml5 | — | Yes | — |
| 10 | anneal | — | Yes | — |
dlib provides C++ libraries for image processing, machine learning, and related algorithms.
mlxtend adds helper modules for Python data analysis and machine learning libraries.
Jupyter Notebook combines live code, equations, explanatory text, visualizations, and interactive computing in a web platform.
AstroML provides Python tools for machine learning and data mining in astronomy.
Vaex provides out-of-core DataFrames for Python to explore and visualize large tabular datasets, with support for machine learning workflows.
MLDB provides an open source database designed for machine learning projects.
Visualizer for neural network, deep learning and machine learning models.
OpenCV provides computer vision libraries, tools, and hardware support for real-time optimized applications.
The ml5.js project brings friendly machine learning tools to web projects.
The anneal project is a Go machine learning compiler with graph rewriting, autodiff, and a WebGPU backend.
SynapseML provides distributed machine learning algorithms for Spark through its Python library.
Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
The Pattern Recognition Toolbox provides MATLAB tools for pattern recognition and machine learning.
Netron displays neural network, deep learning, and machine learning models across formats such as ONNX, TensorFlow, and PyTorch.
Automatic machine learning, hyperparameter tuning, and pipeline abstractions are provided by the Neuraxle software library.
ONNX-Scala provides an API and backend for deep and classical machine learning in Scala.
Opyrator turns machine learning code into microservices with a web API and interactive interface.
Sparkling Water brings H2O machine learning functionality into an Apache Spark cluster.
For Go developers, GoLearn provides a collection of tools for machine learning.
Class-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.
Apache Storm is an open-source distributed system for processing unbounded streams of data in real time.
spaCy provides Python natural language processing tools for entity recognition, tagging, parsing, and word vectors.
torchaudio provides data manipulation and transformation tools for audio signal processing with PyTorch.
Python developers can use gensim for topic modeling and related natural language processing tasks.
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