https://github.com/Algebraic-AI/Open-AML-Engine
공식 코드Algebraic Machine Learning: Learning as computing an algebraic decomposition of a task
Papers with Code 아카이브
Abstract Algebra
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/eleutherai/gpt-neox
공식 코드ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics
https://github.com/peizhengwang/partialordinalshapley
공식 코드Data valuation: The partial ordinal Shapley value for machine learning
https://github.com/txc701/open-source-code-for-ai4m
공식 코드Mathematical Formalized Problem Solving and Theorem Proving in Different Fields in Lean 4
https://github.com/zhangir-azerbayev/proofnet
공식 코드ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics
https://github.com/allenai/dolma
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/bramiozo/PubScience
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/lean-dojo/LeanAgent
https://github.com/rvlopes/gloria
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.