Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
Open source
24 alternativesGeni
vsNetron
Geni vs Netron
How do Geni and Netron compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Geni | Netron |
|---|---|---|
| What it is | The Geni project provides a Clojure dataframe library that runs on Apache Spark. | Netron displays neural network, deep learning, and machine learning models across formats such as ONNX, TensorFlow, and PyTorch. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Linux, macOS, Windows |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Geni and Netron.
Class-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.
Open source
24 alternatives
Sparkling Water brings H2O machine learning functionality into an Apache Spark cluster.
Open source
24 alternatives
Weights & Biases supports model training, fine tuning, and management from experimentation through production.
Open source
24 alternatives
The fastai deep learning library includes documentation and setup guidance, including instructions for use with Google Colab.
Open source
24 alternatives
jSciPy provides Java scientific computing tools for signal processing, FFT, filtering, power spectral density, and DCT.
Open source
24 alternatives