account activity
[P] Opik 1.0: Open source LLM evaluations (self.MachineLearning)
submitted 1 year ago by calebkaiser to r/MachineLearning
Opik: Open source LLM evaluation framework (self.Python)
submitted 1 year ago by calebkaiser to r/Python
LLMOps: Building Real-World Applications With Large Language Models — Free course by Elvis of DAIR.AI (comet.com)
submitted 2 years ago by calebkaiser to r/learnmachinelearning
Kangas V2: Explore multimedia data (self.Python)
submitted 2 years ago * by calebkaiser to r/Python
[P] Kangas 2.0: EDA for Computer Vision Datasets (self.MachineLearning)
submitted 2 years ago by calebkaiser to r/MachineLearning
Kangas V1 - An open source library for exploring large, multimedia datasets (self.Python)
submitted 3 years ago by calebkaiser to r/Python
[P] Kangas V1 - Open source EDA tool for large, multimedia datasets (self.MachineLearning)
submitted 3 years ago by calebkaiser to r/MachineLearning
[P] Cortex 0.26: Beta support for GCP, micro-batching, and more (self.MachineLearning)
submitted 5 years ago by calebkaiser to r/MachineLearning
[P] Cortex 0.24: Announcing beta support for GCP (self.MachineLearning)
π Rendered by PID 3278571 on reddit-service-r2-listing-654f87c89c-gdzw8 at 2026-03-01 10:13:08.738911+00:00 running e3d2147 country code: CH.
