pypi.org : superduper-torch
Superduper allows users to work with arbitrary `torch` models, with custom pre-, post-processing and input/ output data-types, as well as offering training with superduper
Registry
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Source
- Documentation
- JSON
purl: pkg:pypi/superduper-torch
Keywords:
databases
, mongodb
, data-science
, machine-learning
, mlops
, vector-database
, ai
, chatbot
, data
, database
, distributed-ml
, inference
, llm-inference
, llm-serving
, llmops
, ml
, pretrained-models
, python
, pytorch
, rag
, semantic-search
, torch
, transformers
, vector-search
License: Other
Latest release: 27 days ago
First release: 8 months ago
Downloads: 480 last month
Stars: 5,032 on GitHub
Forks: 492 on GitHub
Total Commits: 2307
Committers: 48
Average commits per author: 48.063
Development Distribution Score (DDS): 0.695
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Last synced: about 4 hours ago