In Context Learning Python Packages

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.

easyinstruct

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

xenoverse

Benchmarking general decision-making with open & random worlds

openicl

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

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. Official code implementation of paper: "StaICC: Standardized Evaluation for Classification Task in In-context Learning"

mseep-synalinks

Graph-Based Programmable Neuro-Symbolic LM Framework

openicl-nolabel

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