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synalinks

From idea to production in just few lines: Graph-Based Programmable Neuro-Symbolic LM Framework - a production-first LM framework built with decade old Deep Learning best practices

smashed

SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batching, and more. Supports datasets from Huggingface, torchdata iterables, or simple lists of dictionaries.

openicl

OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.

xenoverse

Benchmarking general decision-making with open & random worlds

easyinstruct

An Easy-to-use Instruction Processing Framework for Large Language Models.

daml-rag-framework

🧠 DAML-RAG: Domain-Adaptive Multi-source Learning RAG Framework | GraphRAG混合检索 + 推理时学习 + 教师-学生双模型协作 | Production-ready vertical domain AI solution

staicc

A standardized toolkit for classification task on In-context Learning.

openicl-nolabel

OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.

mseep-synalinks

From idea to production in just few lines: Graph-Based Programmable Neuro-Symbolic LM Framework - a production-first LM framework built with decade old Deep Learning best practices