Low-code framework for building custom LLMs, neural networks, and other AI models
-
Updated
Jul 11, 2024 - Python
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
ndn-hydra: A Python-coded NDN distributed repository with five focused attributes: resiliency, scalability, usability, efficiency, and security.
[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
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. 📈
From local functions to cloud deployed pipelines
Data-centric core services library in Python. For the version supporting multiple languages, see datacentric repo.
Jaehyung Kim et al's ACL 2023 paper on "infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information"
Add a description, image, and links to the data-centric topic page so that developers can more easily learn about it.
To associate your repository with the data-centric topic, visit your repo's landing page and select "manage topics."