Explore live open-source projects and AI models.

A collection of datasets and tasks for legal machine learning

Collection of notebooks and scripts related to audio processing and machine learning.

The Qualcomm® AI Hub apps are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.

A curated collection of learning resources for Generative AI, Machine Learning, Agentic AI, LLMs, RAG, Fine-tuning, MLOps, and more.

The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.

A curated collection of AI, data engineering, and DevOps projects featuring real-world applications, advanced techniques, and tutorials—ideal for learners and practitioners exploring data science and machine learning.

A curated collection of my quantitative finance research projects. Explores sector rotation, multi-factor models, and AI-driven strategies (machine learning/deep learning) across high, mid, and low frequencies. Each project includes full code and analysis. Continuously updated.

My collection of machine learning papers

Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights Merge branch 'main' into 1862-Add-Travis-CI-migration-table 1862-Add-Travis-CI-migration-table (#1869, Iixixi/ZachryTylerWood#102, THEBOLCK79/docs#1, sbnbhk/docs#1) @martin389 martin389... Read more