Looking for something like crystal-fann? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 23 are open source.
crystal-fann provides Crystal language bindings for the FANN artificial neural network library.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Netron | — | Yes | Linux, macOS, Windows |
| 2 | zipline | — | Yes | — |
| 3 | jieba-php | — | Yes | — |
| 4 | Whylogs | — | Yes | — |
| 5 | LDA.js | — | Yes | — |
| 6 | Fastai | — | Yes | — |
| 7 | Geni | — | Yes | — |
| 8 | leaves | — | Yes | — |
| 9 | Neuraxle | — | Yes | — |
| 10 | Netron | — | Not stated | Web |
Netron displays neural network, deep learning, and machine learning models across formats such as ONNX, TensorFlow, and PyTorch.
Python developers can use Zipline’s event-driven library to backtest algorithmic trading strategies.
Segment Chinese text in PHP applications with jieba-php, a library for Chinese word tokenization.
Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
This Node.js library implements Latent Dirichlet Allocation topic modeling in JavaScript.
The fastai deep learning library includes documentation and setup guidance, including instructions for use with Google Colab.
The Geni project provides a Clojure dataframe library that runs on Apache Spark.
Prediction with gradient boosting regression tree models is implemented in leaves, a Go software library.
Automatic machine learning, hyperparameter tuning, and pipeline abstractions are provided by the Neuraxle software library.
Visualizer for neural network, deep learning and machine learning models.
The Pattern Recognition Toolbox provides MATLAB tools for pattern recognition and machine learning.
Browse large JSONL, Parquet, and CSV datasets in VS Code with the Bread Dataset Viewer extension.
jSciPy provides Java scientific computing tools for signal processing, FFT, filtering, power spectral density, and DCT.
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.
torchaudio provides data manipulation and transformation tools for audio signal processing with PyTorch.
Weights & Biases supports model training, fine tuning, and management from experimentation through production.
The anneal project is a Go machine learning compiler with graph rewriting, autodiff, and a WebGPU backend.
Sparkling Water brings H2O machine learning functionality into an Apache Spark cluster.
For Go developers, GoLearn provides a collection of tools for machine learning.
Mars provides tensor-based tools for large-scale computation with NumPy, Pandas, and scikit-learn.
Tesseract provides an open-source OCR engine for extracting text from images, with its main repository hosted on GitHub.
Class-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.
Browse a gallery of interesting Jupyter notebooks on this project wiki, with examples from notebook users.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative
