Class-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.
Open source
24 alternativesHow do Weights & Biases and QLoRA compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Weights & Biases | QLoRA |
|---|---|---|
| What it is | Weights & Biases supports model training, fine tuning, and management from experimentation through production. | Efficient fine-tuning of quantized language models is the focus of QLoRA, a method documented in this repository. |
| 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 |
Sites similar to both Weights & Biases and QLoRA.
Class-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.
Automatic machine learning, hyperparameter tuning, and pipeline abstractions are provided by the Neuraxle software library.