Explore Projects
Discover 16 open source projects
Showing 1-16 of 16 projects
lmcinnes/umap
UMAP is a dimension reduction library that can be used for visualization, exploration, and analysis of high-dimensional datasets.
openark/orchestrator
A high-availability management system for MySQL replication topologies.
topojson/topojson
An extension of GeoJSON that encodes topology, useful for building data visualization tools.
IntelLabs/nlp-architect
A model library for exploring state-of-the-art deep learning techniques for optimizing NLP neural networks.
skydive-project/skydive
An open-source network topology and protocols analyzer for real-time monitoring and troubleshooting.
GNS3/gns3-gui
A graphical network simulator for designing and testing network topologies.
srl-labs/containerlab
An open-source container-based networking lab orchestration tool for network engineers and enthusiasts.
cyring/CoreFreq
CoreFreq is a CPU monitoring and tuning software for 64-bit processors, designed for power users and system administrators.
locationtech/jts
The JTS Topology Suite is a Java library for creating and manipulating vector geometry.
yint-tech/sekiro-open
SEKIRO is a distributed, network-independent service publishing platform that allows developers to publish functionalities in their respective languages.
elalish/manifold
Manifold is a C++ geometry library focused on topological robustness for AI-powered applications.
NetTopologySuite/NetTopologySuite
A .NET GIS solution that is fast and reliable for the .NET platform, focusing on spatial data and topology.
liqotech/liqo
Liqo enables dynamic and seamless Kubernetes multi-cluster topologies for resource sharing and collaboration.
rst-tu-dortmund/teb_local_planner
An optimal trajectory planner for mobile robots based on Timed-Elastic-Bands (ROS package).
pytorch/cpuinfo
A cross-platform library for retrieving detailed information about the CPU hardware on x86, ARM, Linux, Windows, and more.
neurreps/awesome-neural-geometry
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond.
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