Source code and experiments results for 2018 Data Science Bowl.
Directory
Search results
Published directory entries matching your search.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Supports software work with AI-assisted coding, testing or application development.
Experiment tracking, ML developer tools.
Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso model.
A tool that experiments the motto "let the code write itself".
Database client with AI-powered query assistance to generate context based queries.
CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023).
Self-updating repo wiki for AI coding agents that tracks project conversations, decisions, and context locally inside the repository.
CLI tool for running coding agents inside hardware-isolated microVMs with snapshot isolation, egress control, and MCP authorization.
A DeepSeek-native terminal coding agent in Rust with OS-level sandboxing, persistent goal mode, background tasks, and verification gates.
Explore the Linux kernel source code with AI-generated summaries.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Open-source project that catalogs AI services and resources for browsing by feature or use case.
Open-source project that catalogs AI services and resources for browsing by feature or use case.
Curated list of federated learning publications, re-organized from Arxiv (mostly).
Organizes AI tools and resources so people can browse and compare relevant services.
A curated list of Gеnerative AI companies, sorted by focus area and total fundraised amount.
Open-source project that provides conversational AI for questions, tasks, and general assistance.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Smart code context extractor for AI assistants with accurate token counting and budget management.
Ultra-lightweight personal AI assistant framework (~4,000 lines of Python). Supports MCP, 9+ chat channels, and extensible skills system.