Lidar for ad referencesA list of references on lidar point cloud processing for autonomous driving
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DogvscatSample Docker Swarm cluster stack of tools
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Depth clustering🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
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LopqTraining of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.
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PycaretAn open-source, low-code machine learning library in Python
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WatsetWatset: Automatic Induction of Synsets from a Graph of Synonyms
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Akkatecturea cqrs and event sourcing framework for dotnet core using akka.net
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EventsRepository for *SEM Paper on Event Coreference Resolution in ECB+
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CdhitAutomatically exported from code.google.com/p/cdhit
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ElkiELKI Data Mining Toolkit
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Superpoint graphLarge-scale Point Cloud Semantic Segmentation with Superpoint Graphs
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BagofconceptsPython implementation of bag-of-concepts
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Tensorflow BookAccompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
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DensityclusterMachine learning. Clustering by fast search and find of density peaks.
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VsearchVersatile open-source tool for microbiome analysis
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Minisom🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
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CdpCode for our ECCV 2018 work.
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Satellite imagery analysisImplementation of different techniques to find insights from the satellite data using Python.
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CoherenceOracle Coherence Community Edition
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Scikit MultilearnA scikit-learn based module for multi-label et. al. classification
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Clusteringfast clustering algorithms
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CilantroA lean C++ library for working with point cloud data
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Dedupe🆔 A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
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StreamA framework for data stream modeling and associated data mining tasks such as clustering and classification. - R Package
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ClustergcnA PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
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Cytometry Clustering ComparisonR scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data
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DtaidistanceTime series distances: Dynamic Time Warping (DTW)
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NannyA tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.
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HazelcastOpen-source distributed computation and storage platform
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Mlj.jlA Julia machine learning framework
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Pyclusteringpyclustring is a Python, C++ data mining library.
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ShamanSmall, lightweight, api-driven dns server.
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Kitti Track CollectionData and devtools for the "Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video" paper.
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MoaMOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
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AgooA High Performance HTTP Server for Ruby
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Stats Maths With PythonGeneral statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
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Protoactor GoProto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
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Self LabelSelf-labelling via simultaneous clustering and representation learning. (ICLR 2020)
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TribuoTribuo - A Java machine learning library
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MalheurA Tool for Automatic Analysis of Malware Behavior
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Machine Learning Octave🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
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ElasticlusterCreate clusters of VMs on the cloud and configure them with Ansible.
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K Means ConstrainedK-Means clustering - constrained with minimum and maximum cluster size
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RAll Algorithms implemented in R
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EliasdbEliasDB a graph-based database.
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Gcn clusteringCode for CVPR'19 paper Linkage-based Face Clustering via GCN
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Data miningThe Ruby DataMining Gem, is a little collection of several Data-Mining-Algorithms
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SmileStatistical Machine Intelligence & Learning Engine
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Fuzzy C MeansA simple python implementation of Fuzzy C-means algorithm.
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Flexible ClusteringClustering for arbitrary data and dissimilarity function
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Mob SuiteMOB-suite: Software tools for clustering, reconstruction and typing of plasmids from draft assemblies
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AdaptAdvanced Developer Async Programming Toolkit
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TalismanStraightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.
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