31 skills found · Page 1 of 2
Pometry / RaphtoryScalable graph analytics database powered by a multithreaded, vectorized temporal engine, written in Rust
HeidelTime / HeideltimeA multilingual, cross-domain temporal tagger developed at the Database Systems Research Group at Heidelberg University.
domargan / Awesome Dynamic GraphsA collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work
Roenbaeck / AnchorAnchor Modeler is a database modeling tool for creating database models that handles temporalization using the sixth normal form.
datablend / FluxgraphA temporal graph database on top of Datomic
tc39 / Proposal Canonical TzTC39 Proposal (stacked on Temporal) to improve handling of changes to the IANA Time Zone Database
glautrou / EfCoreTemporalTableEasily perform temporal queries on your favourite database by using Entity Framework Core
chop-dbhi / OriginsOrigins is an open source bi-temporal database for storing and retrieving facts for slowly-changing data. It support "time travel" queries and has built-in change detection.
anaslimem / CortexaDBIt is a simple, fast, and hard-durable embedded database designed specifically for AI agent memory. It provides a single-file-like experience (no server required) but with native support for vectors, graphs, and temporal search.
hououou / AeonGAeonG: An Efficient Built-in Temporal Support in Graph Databases
cjabradshaw / AustralianSharkIncidentDatabaseThe Australian Shark-Incident Database (ASID) for quantifying temporal and spatial patterns of shark-human conflict in Australia
dataplumber / NexusNEXUS is an emerging data-intensive analysis framework developed with a new approach for handling science data that enables large-scale data analysis. It takes on a different approach in handling array-based observational temporal, geospatial artifacts by fully leveraging the elasticity of Cloud Computing environment. Rather than performing on-the-fly file I/Os, NEXUS stores tiled data in Cloud-scaled databases with high-performance spatial lookup service. NEXUS is also packaged with a suite of science data analytic web services that are developed using Apache Spark.
spisneha25 / ST DBSCANImplements the ST-DBSCAN algorithm to find clusters in a spatial-temporal database
ronitkathuria15 / Handwritten Prescription RecognitionThe Optical Character Recognition (OCR) system consists of a comprehensive neural network built using Python and TensorFlow that was trained on over 115,000 wordimages from the IAM On-Line Handwriting Database (IAM-OnDB). The neural network consists of 5 Convolutional Neural Network (CNN) layers, 2 Recurrent Neural Network (RNN) Layers, and a final Connectionist Temporal Classification (CTC) layer. As the input image is fed into the CNN layers, a non-linear ReLU function is applied to extract relevant features from the image. The ReLU function is preferred due to the lower likelihood of a vanishing gradient (which arises when network parameters and hyperparameters are not properly set) relative to a sigmoid function. In the case of the RNN layers, the Long Short-Term Memory (LSTM) implementation is used due to its ability to propagate information through long distances. The CTC is given the RNN output matrix and the ground truth text to compute the loss value and the mean of the loss values of the batch elements is used to train the OCR system. This means is fed into an RMSProp optimizer which is focused on minimizing the loss, and it does so in a very robust manner. For inference, the CTC layer decodes the RNN output matrix into the final text. The OCR system reports an accuracy rate of 95.7% for the IAM Test Dataset, but this accuracy falls to 89.4% for unseen handwritten doctors’ prescriptions.
cont-limno / LAGOSNEInterface to the LAke multi-scaled GeOSpatial & temporal database :earth_americas:
Datahenge / TemporalTemporal is a library of useful Date and Time functions (plus a Redis database) that can be integrated with other Frappe framework applications.
yqthanks / Significant DBSCAN MatlabCode for paper: Xie, Y. and Shekhar, S., 2019, August. Significant DBSCAN towards Statistically Robust Clustering. In Proceedings of the 16th International Symposium on Spatial and Temporal Databases (pp. 31-40).
humemai / Humemai ResearchAdvancement at the intersection of cognitive science, temporal knowledge graphs, database systems, and AI.
Daniel7303 / Chrono TemporalA Python library that adds time-travel queries to your PostgreSQL database. Query any entity at any point in history.
SnakeEye-sudo / Chrono DBA distributed temporal database allowing queries of any historical state with millisecond precision using CRDTs for multi-master replication and Raft consensus for strong consistency
