marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
No description.
Appears on
Quick read
Latest capture 2026-10-06 03:12
Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
9 observed captures since 2026-05-22. Observed captures are shown by default.
Stars from first capture +2
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Lime: Explaining the predictions of any machine learning classifier
A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators.
Algorithms for explaining machine learning models
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators. It is hosted in OpenAtom Foundation.
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.