ludwig-ai/ludwig
Low-code framework for building custom LLMs, neural networks, and other AI models
A collection of infrastructure and tools for research in neural network interpretability.
Appears on
Quick read
Latest capture 2026-10-08 03:08
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 -1
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Low-code framework for building custom LLMs, neural networks, and other AI models
LAVIS - A One-stop Library for Language-Vision Intelligence
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
An Open Source Machine Learning Framework for Everyone
A library for mechanistic interpretability of GPT-style language models
AirLLM 70B inference with single 4GB GPU