explainable-ai

dsh-memory

+85

白箱AGI架构探索：元认知（自我认知循环）、持续学习（知识飞轮）、世界模型（条件空间+语义时空图）、自我改进（自举纪律）、零LLM白箱管线与可审计信任护栏。

semantica

+143

Graph-Native Infrastructure for Context and Accountable AI Systems

PySR

+118

Symbolic Learning in Python and Julia

attention-span

+22

Make your agents talk human. ADHD-friendly output styles for Claude Code, Codex, and others. So you can pay attention, not tokens.

obss/sahi

+14

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

deep-learning-drizzle

+6

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

pytorch-grad-cam

+6

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

interpret

+3

Fit interpretable models. Explain blackbox machine learning.

responsible-ai-toolbox

+2

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.