aashishyadavally
Follow
Stars
Open sourced predictions, execution logs, trajectories, and results from model inference evaluation runs on the SWE-bench task.
The easiest & fastest way to run customized and fine-tuned LLMs locally or on the edge
Code Lifelong Learning (CodeLL) Dataset (MSR 2024)
The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>
Neural Code Intelligence Survey 2024; Reading lists and resources
Recent symbolic execution papers and tools.
A curated list of awesome directed fuzzing research papers
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…
Awesome machine learning for combinatorial optimization papers.
⚙️ A curated list of static analysis (SAST) tools and linters for all programming languages, config files, build tools, and more. The focus is on tools which improve code quality.
⚒️ Tree-sitter custom toolkit for extracting function and class from raw source file
Link to paper: https://aashishyadavally.github.io/assets/pdf/pub-icse2023-(1).pdf
Integrate cutting-edge LLM technology quickly and easily into your apps
methods2test is a supervised dataset consisting of Test Cases and their corresponding Focal Methods from a set of Java software repositories
A family of open-sourced Mixture-of-Experts (MoE) Large Language Models
A unified evaluation framework for large language models
Robust recipes to align language models with human and AI preferences
A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering
A beautiful, simple, clean, and responsive Jekyll theme for academics
A concise but complete full-attention transformer with a set of promising experimental features from various papers
This introduces a suggestion of mathematical notation protocol for machine learning.