This collection of open source projects is created for educational purposes to help students and researchers learn about:

• System Design and Distributed Platforms
• AI Agents and Large Language Models
• Data Engineering and Analytics
• Research-to-Implementation Workflows
• Cloud Orchestration and Scalability
• Modern Software Development Practices

Declarative LLM Programming with DSPy • Progressive labs for learning ⭐

LLM Fine-Tuning Practice • PEFT, LoRA, and advanced techniques ⭐

DuckDB Analytics Practice • SQL optimization and analytics ⭐

Apache Spark Practice • Batch and stream processing ⭐

Apache Iceberg Lakehouse Practice • Time travel and schema evolution ⭐

Apache Beam Practice • Unified batch and stream processing ⭐

Scala Data Analysis Practice • Functional programming and big data ⭐

Automated Research Collection • Multi-source paper aggregation and scoring ⭐

Research to Implementation • Agentic framework for converting papers to code ⭐

Quantitative Finance Research • Framework for implementing trading strategies ⭐

Cloud Orchestration Gateway • Scaling research-to-repo pipelines ⭐

AGI/ASI Educational Resources • Curated collection for learning ⭐

AI-Powered Research Assistant • Academic paper discovery and analysis ⭐

Table Formats Education • Comparison of Iceberg, Delta Lake, Hudi ⭐

Technical Learning Notes • AI/ML, System Design, Data Engineering ⭐

• Start with practice repositories for hands-on learning
• Progress to framework projects for understanding architecture
• Explore research resources for advanced concepts

• Use research tools for literature review automation
• Study implementation frameworks for research-to-code workflows
• Leverage cloud orchestration for scaling research

• Practice with code repositories for skill development
• Study framework architecture for system design
• Explore data engineering tools for infrastructure learning