Showing 21-40 of 798 projects
Study plan for software engineers to become machine learning engineers
Curated resources for data science and machine learning in production
Comprehensive Data Science learning and resource guide
Physics platform for robotics & embodied AI with generative data capabilities
Distributed gradient boosting library for fast and accurate data science solutions
Deep learning library for fast and easy model building
Deprecated ML book repo with Jupyter notebooks for learning fundamentals
SHAP explains ML model outputs using Shapley values for interpretability.
MLflow is an open-source platform for building, tracking, and deploying AI/ML models with end-to-end observability and evaluation tools.
Build interactive data apps and dashboards with Python, no JavaScript required.
Interactive machine learning algorithms in Python with Jupyter demos
PaddlePaddle is a deep learning framework for industrial-scale ML, offering distributed training, model deployment, and Python/C++ support.
Comprehensive LLM engineering and application resources with training, inference, compression, and deployment guides
ML Systems textbook and hands-on learning stack for building real-world AI systems
Reinforcement Learning implementations and exercises for Python developers
Workflow orchestration for resilient data pipelines in Python
Recommenders is a project for prototyping and operationalizing recommendation systems with Jupyter notebooks and best practices.
AI-powered dataset management and preprocessing library for ML projects
Deep learning framework for efficiency and flexibility with Python, R, Julia, and more
Curated list of open source libraries for deploying, monitoring, and scaling machine learning in production
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