AIX360
Trusted-AI
Interpretability and explainability of data and machine learning models
OPENAGENTSKILL / DIRECTORY
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
81–96 / 145
Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 145
Trusted-AI
Interpretability and explainability of data and machine learning models
RubixML
A high-level machine learning and deep learning library for the PHP language.
pytorch-tabular
A unified framework for Deep Learning Models on tabular data
eugeneyan
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
lightgbm-org
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…
mryab
Efficient Deep Learning Systems course materials (HSE, YSDA)
microsoft
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
RasaHQ
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbo…
jeshraghian
Deep and online learning with spiking neural networks in Python
mlabonne
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
DataTalksClub
Free MLOps course from DataTalks.Club
k4yt3x
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
TheAlgorithms
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
No external entries match this query.