datachain

We have hosted the application datachain in order to run this application in our online workstations with Wine or directly.

Quick description about datachain:

Datachain enables multimodal API calls and local AI inferences to run in parallel over many samples as chained operations. The resulting datasets can be saved, versioned, and sent directly to PyTorch and TensorFlow for training. Datachain can persist features of Python objects returned by AI models, and enables vectorized analytical operations over them. The typical use cases are data curation, LLM analytics and validation, image segmentation, pose detection, and GenAI alignment. Datachain is especially helpful if batch operations can be optimized � for instance, when synchronous API calls can be parallelized or where an LLM API offers batch processing.

Features:

• Datachain is built by composing wrangling operations
• Documentation available
• Examples available
• Handle Python objects
• Vectorized analytics
• Dataset persistence

Programming Language: Python.
Categories: