Dataset
Showing 36 of 103 projects
A biomedical knowledge graph integrating 20 resources to describe 17,080 diseases with over 4 million relationships across ten biological scales.
A curated list of research papers and resources for scene understanding in computer vision, covering 3D reconstruction, layout estimation, and primitive detection.
A high-performance, functional tabular data processing library for Clojure, similar to Python's Pandas or R's data.table.
A Delphi and Lazarus (FPC) library for bidirectional conversion between JSON and DataSets, including validation and structure management.
A benchmark for evaluating protein language models through five biologically relevant semi-supervised learning tasks.
A decentralized data management system built on Git and git-annex for versioning and distributing large datasets.
A toolkit and dataset for autonomous driving research, including trajectory prediction, 3D LiDAR detection, scene parsing, and video inpainting.
A large-scale multi-domain dataset of over 20k annotated task-oriented dialogues for training and evaluating virtual assistants.
A large-scale StarCraft: Brood War replay dataset for AI research, containing 65,646 games with frame and action data.
A benchmark dataset for long-range (up to 250m) dense depth estimation in autonomous driving, featuring 360° LiDAR ground truth.
A curated list of open-access resources and tools for Natural Language Processing (NLP) focused on the German language.
A reading comprehension dataset with Wikipedia summaries, full stories, and question-answer pairs for narrative understanding.
A curated collection of robotics and computer vision datasets for research and development.
A foundation model for multi-species genome understanding, achieving state-of-the-art performance on 28 genomic tasks.
A curated collection of data sets and tools for empirical software engineering and mining software repositories research.
A .NET framework for extracting and exporting text and data from a wide variety of document formats.
A benchmark dataset and toolkit for RF-based drone detection and identification using raw IQ data and deep learning models.
A fast Apache Spark testing helper library with beautifully formatted error messages for Scala applications.
A neural network for real-time 6D object pose tracking in video using RGB-D data, trained only on synthetic images.
A curated list of deep learning research papers and implementations for high dynamic range image and video synthesis.
A dataset of millions of news articles labeled by credibility type for training fake news detection algorithms.
A Clojure dataset manipulation library providing a dplyr-like API on top of tech.ml.dataset.
A centralized Python framework for agricultural machine learning, providing access to public datasets, benchmarks, pretrained models, and synthetic data generation.
A collection of large-scale datasets for source code analysis and machine learning on code, including GitHub repositories, identifiers, and commit data.
A ROS-based dataset and tools for autonomous vehicle development with seasonal multi-sensor data from Ford vehicles.
A Python devkit for loading, exploring, and manipulating the PandaSet, a large-scale autonomous driving dataset with LiDAR, camera, and annotations.
Fortran application interfaces for accessing netCDF scientific data files, providing self-describing, network-transparent data storage.
A large-scale image dataset for self-supervised pretraining without humans, designed to reduce privacy concerns.
FLAME dataset and deep learning models for fire detection in aerial imagery using UAVs, supporting classification and segmentation tasks.
Tools for compiling and using the Maluuba NewsQA dataset, a machine reading comprehension dataset based on CNN articles.
A long-term autonomous driving dataset from Europe with multi-sensor data (GPS-RTK, LiDAR, cameras, IMU) for localization and mapping research.
An open-source remote sensing dataset and pipeline for agricultural land use classification, featuring 95,186 datapoints with satellite and climatology data.
A curated collection of LiDAR place recognition methods, datasets, and algorithms for robotics and autonomous systems.
A set of Vue.js 3 components for displaying datasets with built-in filtering, pagination, and sorting.
A large-scale driving behavior dataset with LiDAR point clouds, dashboard videos, and sensor data for autonomous driving research.
A benchmark dataset and meta self-learning method for multi-source domain adaptation in scene text recognition.
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