-
QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining
Paper β’ 2602.07085 β’ Published β’ 189 -
Seriki/FastHTML
Updated β’ 139 β’ 1 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper β’ 2501.12948 β’ Published β’ 443 -
AI Can Learn Scientific Taste
Paper β’ 2603.14473 β’ Published β’ 251
AI & ML interests
None defined yet.
Recent Activity
Organization Card
βΈ»
Welcome to QUBUHUB π
Founder: Seriki Yakub (aka KUBU LEE)
Location: Nigeria
Website: https://qubuhub.com
GitHub: https://github.com/Web4application
Twitter: https://twitter.com/Web4app
π About QUBUHUB + Aura
QUBUHUB, powered with Aura, combines cutting-edge AI, Web4 tools, and blockchain solutions with a dynamic, futuristic visual identity. Aura represents our mission to make AI interactive, intuitive, and visually alive.
π Featured Models
| Model Name | Description | Hugging Face Link |
|---|---|---|
| GPT-TextGen | Transformer-based text generation | View Model |
| VisionAI | High-accuracy image classification | View Model |
| MultiModalAI | Text + Image multimodal AI | View Model |
𧩠Our Work
- AI Models: Text generation, computer vision, multimodal AI
- Web4 Tools: Decentralized applications, APIs, frameworks
- Blockchain Solutions: Smart contracts, crypto tools, decentralized platforms
β¨ Aura Features
- Animated visual branding for QUBUHUB
- Interactive badges / GIF elements for model cards
- Futuristic theme linking AI outputs with organization identity
π¬ Contact & Collaboration
- GitHub: https://github.com/Web4application
- Website: https://qubuhub.com
- Twitter: https://twitter.com/Web4app
- LinkedIn: https://www.linkedin.com/in/Web4application
π Citation
@misc{qubuhub2025, author = {Seriki Yakub (KUBU LEE)}, title = {QUBUHUB Models + Aura}, year = {2025}, url = {https://huggingface.co/QUBUHUB} }
π Quick Links
βΈ»
-
QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining
Paper β’ 2602.07085 β’ Published β’ 189 -
Seriki/FastHTML
Updated β’ 139 β’ 1 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper β’ 2501.12948 β’ Published β’ 443 -
AI Can Learn Scientific Taste
Paper β’ 2603.14473 β’ Published β’ 251
models 6
QUBUHUB/roberta-base-squad2-optimized
Document Question Answering β’ Updated β’ 21
QUBUHUB/layoutlm-funsd
Object Detection β’ Updated β’ 26
QUBUHUB/donut-base-finetuned-cord-v2
Updated β’ 23
QUBUHUB/stable-diffusion-v1-4-endpoints
Text-to-Image β’ Updated β’ 11
QUBUHUB/clip-zero-shot-image-classification
Zero-Shot Image Classification β’ Updated β’ 12
QUBUHUB/distilbert-onnx-banking77
Text Classification β’ Updated β’ 11
datasets 0
None public yet