NeuralRank utilizes distributed neural networks to facilitate real-time, adaptive ranking and scoring through auto-scaling architectures.
NeuralRank is built to be simple and practical, focusing on doing one thing well.
Why NeuralRank?
- NeuralRank utilizes distributed neural networks
- to facilitate real-time, adaptive ranking
- and scoring through auto-scaling architectures
- NeuralRank utilizes distributed neural networks
- to facilitate real-time, adaptive ranking
- and scoring through auto-scaling architectures
- python
- Modular architecture
- CI-ready (GitHub Actions)
- Clone the repository:
git clone https://github.com/fuad403273/NeuralRank.git cd NeuralRank- Install in editable mode:
pip install -e .
NeuralRank is configured through environment variables (see .env.example). Key options:
- APP_ENV:
developmentorproduction. - PORT: Port the server listens on.
- LOG_LEVEL:
debug,info, orerror.
Pull requests and issue reports are both welcome. Please read the existing code style before submitting.
This project is licensed under the MIT License. See the LICENSE file for details.