AI compute and workflow engine designed for simplicity, high performance, and seamless distributed parallel training.
Neurloop is a lightweight, flexible, and general-purpose AI workflow engine.
It empowers developers, researchers, and institutions to automate training, evaluation, and deployment across various machine learning tasks — including classification, regression, forecasting, and more.
"Train. Test. Loop." — Neurloop keeps your AI in motion.
- ✅ General-purpose AI workflow engine
- 🚀 Optimized with Cython for fast and efficient compute
- 🔁 Workflow automation via GitHub Actions or any provider
- 🧩 Plug-and-play YAML configuration system to define pipeline logic
- 🧑💼 Use-case ready for healthcare, education, retail, finance, and government
- 🔒 Fully local or cloud-compatible: no vendor lock-in
- 📦 Containerized with Docker for easy deployment anywhere
- 🔧 Integrated with popular ML libraries:
- scikit-learn: for classical ML workflows
- PyTorch: for deep learning modules (RNN, GRU, etc.)
- TensorFlow: for additional model compatibility
- Hugging Face Transformers: for NLP and LLM workflows
- 📤 ONNX export support for model portability