DESOMπ Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
Stars: β 76 (+76.74%)
BagofconceptsPython implementation of bag-of-concepts
Stars: β 18 (-58.14%)
M-NMFAn implementation of "Community Preserving Network Embedding" (AAAI 2017)
Stars: β 119 (+176.74%)
Revisiting-Contrastive-SSLRevisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
Stars: β 81 (+88.37%)
Self LabelSelf-labelling via simultaneous clustering and representation learning. (ICLR 2020)
Stars: β 324 (+653.49%)
AgooA High Performance HTTP Server for Ruby
Stars: β 679 (+1479.07%)
TribuoTribuo - A Java machine learning library
Stars: β 882 (+1951.16%)
LightctrLightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.
Stars: β 644 (+1397.67%)
EliasdbEliasDB a graph-based database.
Stars: β 611 (+1320.93%)
SimclrPyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Stars: β 750 (+1644.19%)
Kitti Track CollectionData and devtools for the "Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video" paper.
Stars: β 20 (-53.49%)
Depth clusteringπ Fast and robust clustering of point clouds generated with a Velodyne sensor.
Stars: β 657 (+1427.91%)
Channel PruningChannel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
Stars: β 979 (+2176.74%)
Machine Learning Octaveπ€ MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
Stars: β 637 (+1381.4%)
GraphviteGraphVite: A General and High-performance Graph Embedding System
Stars: β 865 (+1911.63%)
Knowledge Distillation PytorchA PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
Stars: β 986 (+2193.02%)
SmileStatistical Machine Intelligence & Learning Engine
Stars: β 5,412 (+12486.05%)
K Means ConstrainedK-Means clustering - constrained with minimum and maximum cluster size
Stars: β 33 (-23.26%)
Knowledge GraphsA collection of research on knowledge graphs
Stars: β 845 (+1865.12%)
CilantroA lean C++ library for working with point cloud data
Stars: β 577 (+1241.86%)
Lemniscate.pytorchUnsupervised Feature Learning via Non-parametric Instance Discrimination
Stars: β 532 (+1137.21%)
BipointnetThis project is the official implementation of our accepted ICLR 2021 paper BiPointNet: Binary Neural Network for Point Clouds.
Stars: β 27 (-37.21%)
ClustergcnA PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Stars: β 529 (+1130.23%)
Minisomπ΄ MiniSom is a minimalistic implementation of the Self Organizing Maps
Stars: β 801 (+1762.79%)
DensityclusterMachine learning. Clustering by fast search and find of density peaks.
Stars: β 27 (-37.21%)
Awesome Automl And Lightweight ModelsA list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
Stars: β 691 (+1506.98%)
Mlj.jlA Julia machine learning framework
Stars: β 982 (+2183.72%)
PaddleslimPaddleSlim is an open-source library for deep model compression and architecture search.
Stars: β 677 (+1474.42%)
EventsRepository for *SEM Paper on Event Coreference Resolution in ECB+
Stars: β 20 (-53.49%)
Model OptimizationA toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Stars: β 992 (+2206.98%)
Scikit MultilearnA scikit-learn based module for multi-label et. al. classification
Stars: β 638 (+1383.72%)
Clusteringfast clustering algorithms
Stars: β 14 (-67.44%)
ElkiELKI Data Mining Toolkit
Stars: β 613 (+1325.58%)
Satellite imagery analysisImplementation of different techniques to find insights from the satellite data using Python.
Stars: β 31 (-27.91%)
Cytometry Clustering ComparisonR scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data
Stars: β 30 (-30.23%)
StreamA framework for data stream modeling and associated data mining tasks such as clustering and classification. - R Package
Stars: β 23 (-46.51%)
Vl BertCode for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
Stars: β 493 (+1046.51%)
Data miningThe Ruby DataMining Gem, is a little collection of several Data-Mining-Algorithms
Stars: β 10 (-76.74%)
TalismanStraightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.
Stars: β 584 (+1258.14%)
SwarmEasy clustering, registration, and distribution of worker processes for Erlang/Elixir
Stars: β 1,004 (+2234.88%)
DebertaThe implementation of DeBERTa
Stars: β 541 (+1158.14%)
TransferlearningTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-θΏη§»ε¦δΉ
Stars: β 8,481 (+19623.26%)
Superpoint graphLarge-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Stars: β 533 (+1139.53%)
Mob SuiteMOB-suite: Software tools for clustering, reconstruction and typing of plasmids from draft assemblies
Stars: β 32 (-25.58%)
LopqTraining of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.
Stars: β 530 (+1132.56%)
AdaptAdvanced Developer Async Programming Toolkit
Stars: β 26 (-39.53%)
DtaidistanceTime series distances: Dynamic Time Warping (DTW)
Stars: β 499 (+1060.47%)
Clusteredbigcachegolang bigcache with clustering as a library.
Stars: β 37 (-13.95%)
Tensorflow BookAccompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Stars: β 4,448 (+10244.19%)
HazelcastOpen-source distributed computation and storage platform
Stars: β 4,662 (+10741.86%)
Lidar for ad referencesA list of references on lidar point cloud processing for autonomous driving
Stars: β 456 (+960.47%)
Gradfeat20Gradients as Features for Deep Representation Learning
Stars: β 30 (-30.23%)
NannyA tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.
Stars: β 17 (-60.47%)
Robotics Rl SrlS-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
Stars: β 453 (+953.49%)
WatsetWatset: Automatic Induction of Synsets from a Graph of Synonyms
Stars: β 16 (-62.79%)