The Abstraction and Reasoning Corpus
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Updated
Apr 4, 2025 - JavaScript
The Abstraction and Reasoning Corpus
Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024
Using artificial intelligence and genetic algorithms to automatically write programs. Tutorial: http://www.primaryobjects.com/cms/article149
A Dataset of Python Challenges for AI Research
Microsoft Program Synthesis using Examples SDK is a framework of technologies for the automatic generation of programs from input-output examples. This repo includes samples and sample data for the Microsoft Program Synthesis using Example SDK.
multilspy is a lsp client library in Python intended to be used to build applications around language servers.
Direct Manipulation Programming for HTML/SVG
Performs string manipulation tasks by learning from the provided example(s), instead of having to program them out explicitly.
APPS: Automated Programming Progress Standard (NeurIPS 2021)
[ICLR'25] BigCodeBench: Benchmarking Code Generation Towards AGI
A relation-aware semantic parsing model from English to SQL
Code for Parsel 🐍 - generate complex programs with language models
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
discover elisp functions that do what you want
🌌️Fuzz4All: Universal Fuzzing with Large Language Models
An inductive logic programming system
[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models
Code and Data artifact for NeurIPS 2023 paper - "Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context". `multispy` is a lsp client library in Python intended to be used to build applications around language servers.
An agent that compiles git maintenance chores into reusable programs, then decides whether to replay them by running checks rather than by guessing the task looks familiar
A Python framework for program synthesis with a focus on Automated Machine Learning.
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