With the advancement in Natural Language Processing and Large Multimodal Models in general, a new field adopting the findings to source code and software development has been emerging. This knowledge base collects related papers, models, products, blogs of individuals, events, courses, tutorials, videos and many other artifacts on a best effort basis.
The aim is to generate a better understanding for everyone on how organizations can improve their software development lifecycle.
ai4code, ml4code, dl4code, bigcode, deepcode
The subfolders contains markdown files with the knowledge-base content.
01_papers: Collection and summaries of research papers.02_downstream: Collection of use cases03_dataset: Overview on publicly available source code datasets04_evaluation: Overivew on metrics and benchmarks05_models: Overview on models06_libraries: Overiew on ML libraries07_articles: Collection of web articles related to ai for source code.08_tooling: Overview of available tools and companies within the ai for code domain.09_resources: Machine Learning & Software Engineering references10_about: Maintenance
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