FEDOT automates machine learning model development through its modeling framework.
Open source
24 alternativesHow do Accelerate and Petastorm compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Accelerate | Petastorm |
|---|---|---|
| What it is | Hugging Face Accelerate launches and trains PyTorch models across devices and distributed configurations. | Enables single machine or distributed training and evaluation of deep learning models. |
| 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 Accelerate and Petastorm.
FEDOT automates machine learning model development through its modeling framework.
m2cgen converts machine learning models into native code for multiple programming languages without runtime dependencies.
DeepSpeed optimizes distributed training and inference for deep learning models.
Detecto supports building and training computer vision models with the PyTorch machine learning framework.
PEFT provides parameter-efficient fine-tuning methods for adapting pretrained machine learning models.
Learnergy is a Python library for energy-based machine learning models.