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