Label Studio is a multi-type data labeling and annotation tool with standardized output format
- computer-vision
- deep-learning
- image-annotation
- annotation-tool
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Label Studio is a multi-type data labeling and annotation tool with standardized output format
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Toolkit for linearizing PDFs for LLM datasets/training
Datasets, Transforms and Models specific to Computer Vision
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
pix2code: Generating Code from a Graphical User Interface Screenshot
Refine high-quality datasets and visual AI models
Open source annotation tool for machine learning practitioners.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Fast Python Collaborative Filtering for Implicit Feedback Datasets
A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
What's in your data? Extract schema, statistics and entities from datasets
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
A Modular Optimization framework for Localization and mApping (MOLA)
🔧 A curated list of awesome dataset tools
Papers, code and datasets about deep learning and multi-modal learning for video analysis
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
A collection of useful datasets for robotics and computer vision
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.