Low-code framework for building custom LLMs, neural networks, and other AI models

Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]

The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.

DataCLUE: 数据为中心的NLP基准和工具包

[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"

From local functions to cloud deployed pipelines

Jaehyung Kim et al's ACL 2023 paper on "infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information"

Quickly set up an image labelling web application for manually tagging images for machine learning tasks.

The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈

ndn-hydra: A Python-coded NDN distributed repository with five focused attributes: resiliency, scalability, usability, efficiency, and security.

Data-centric core services library in Python. For the version supporting multiple languages, see datacentric repo.