Data-centric declarative deep learning framework
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Updated
Jun 16, 2023 - Python
Data-centric declarative deep learning framework
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
A curated, but incomplete, list of data-centric AI resources.
The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling to supercharge model performance.
DataCLUE: 数据为中心的NLP基准和工具包
Vue Form with Laravel Inspired Validation and Simply Enjoyable Error Messages Api. (Form Api, Validator Api, Rules Api, Error Messages Api)
A Data Centric annotation tool for your Named Entity Recognition projects
[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
An observer is a wrapper over JSON data, that provides an interface to know when data is changed, with a focus on performance and memory efficiency.
Codes for a Top 5% finish in the Data-Centric AI Competition organized by Andrew Ng and DeepLearning.AI
From local functions to cloud deployed pipelines
Sample notebooks that use the Openlayer Python API
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data (NeurIPS 2022)
Open-source Data Backend written in Java and based on PostgreSQL & GraphQL.
Quickly set up an image labelling web application for manually tagging images for machine learning tasks.
Data-SUITE: Data-centric identification of in-distribution incongruous examples (ICML 2022)
Data-Oriented Microservices Architecture Framework using DDS
Rust implementation of the Data Distribution Service (DDS)
ndn-hydra: A Python-coded NDN distributed repository with five focused attributes: resiliency, scalability, usability, efficiency, and security.
Data-centric core services library in C++. For the version supporting multiple languages, see datacentric repo.
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