Show HN: I made a OSS alternative to Weights and Biases
a year ago
- #MLOps
- #Machine Learning
- #Experimental Tracking
- mlop is a Machine Learning Operations (MLOps) framework with self-hostable experimental tracking and lifecycle management for ML models.
- It follows a KISS philosophy, prioritizing high and stable data throughput for efficient MLOps.
- Quick start options include a 5-line Python integration or a 3-command Docker setup for self-hosting.
- mlop is community-supported, designed to improve ML observability and save compute time.
- Resources include an introductory notebook, documentation, and tutorials for PyTorch.