Deep-Spark/DeepSparkHub
DeepSparkHub selects hundreds of application algorithms and models, covering various fields of AI and general-purpose computing, to support the mainstream intelligent computing scenarios. This repository is the mirror of Gitee.
This project offers a selection of pre-trained large language models (LLMs) and other AI algorithms ready for use across various industries. It provides a foundational library of models, allowing practitioners to leverage state-of-the-art AI capabilities without needing to train models from scratch. Data scientists, AI researchers, and machine learning engineers can use this to quickly apply advanced AI to their specific problems.
Use this if you need access to a wide variety of pre-trained large language models and other AI algorithms for applications in areas like smart cities, digital personal assistants, healthcare, education, or telecommunications.
Not ideal if you are looking for a complete, end-to-end solution for a very niche or highly customized AI problem that requires unique model architectures or extensive bespoke training.
Stars
70
Forks
14
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/Deep-Spark/DeepSparkHub"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
thu-pacman/chitu
High-performance inference framework for large language models, focusing on efficiency,...
NotPunchnox/rkllama
Ollama alternative for Rockchip NPU: An efficient solution for running AI and Deep learning...
sophgo/LLM-TPU
Run generative AI models in sophgo BM1684X/BM1688
howard-hou/VisualRWKV
VisualRWKV is the visual-enhanced version of the RWKV language model, enabling RWKV to handle...
bentoml/llm-inference-handbook
Everything you need to know about LLM inference