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Functionality of the fitbitViz R package2 months ago
heart rate time series | heart rate heatmap | heart rate variability during sleep time | sleep time series | GPS data of outdoor activities | 3-dimensional plots of activities
ICESat-2 Atlas Products4 months ago
ICESat-2 Mission Orbits4 months ago
ICESat-2 and Countries intersection | 'Onshore' and 'Offshore' Points ICESat-2 coverage | Global glaciated areas and ICESat-2 coverage
ICESat-2 Virtual File System Orbits4 months ago
Language Identification using the 'fastText' package (a Benchmark)6 months ago
Benchmark based on the WiLI dataset | fastText based on the smaller pre-trained model 'lid.176.ftz' (approx. 917 kB) | fastText based on the bigger pre-trained model 'lid.176.bin' (approx. 126 MB) | ggplot visualization of the bigger .bin model | 'cld2' language recognition package | 'cld3' language recognition package | Language recognition using the 'textcat' R package | using the 'TC_byte_profiles' | using the 'TC_char_profiles' | Language recognition using the 'franc' R package | Overview datatable of all methods | Benchmark based on the Human Rights Declaration files | Comparison between 'fastText', 'cl2', 'cl3' and 'franc' for Multilingual output | fastText Multilingual | cld2 Multilingual | cld3 Multilingual | franc Multilingual
Functionality of the fastGLCM R package9 months ago
Sample Satellite Imagery
Variational Mode Decomposition (VMD)9 months ago
Example Use Cases | Noise Removal (1-Dimensional VMD) | Synthetic image segmentation (2-Dimensional VMD)
Processing of GeoJson data in R1 years ago
FROM_GeoJson | TO_GeoJson | Dump_From_GeoJson | Features_2Collection | Web applications using shiny, leaflet, geojsonR and nominatim | geocoding_geojson | geocoding_nominatim | geocoding_nominatim_reverse
Copernicus Digital Elevation Models (an example use case)2 years ago
Functionality of the ClusterR package3 years ago
Gaussian Mixture Models (GMM) | k-means | Mini-batch-kmeans | K-Medoids
Norway's International Climate and Forest Initiative (NICFI) using Planet Satellite Imagery in R3 years ago
Change Detection (using bi-annual Imagery) | Attribution:
Functionality of the OpenImageR package4 years ago
Basic functions | readImage | imageShow | writeImage | rgb_2gray | cropImage | flipImage | rotateFixed | rotateImage | resizeImage | translation | Image filtering | edge_detection | uniform_filter | image_thresholding | gamma_correction | ZCAwhiten | dilationErosion | Augmentation | Image recognition | HOG ( histogram of oriented gradients ) | HOG_apply | image hashing | average_hash | phash | dhash | invariant_hash | hash_apply
Warp Affine using R4 years ago
Gabor Feature extraction4 years ago
Gabor Features | gabor_filter_bank | gabor_feature_extraction | gabor_feature_engine
Functionality of the textTinyR package5 years ago
classes | functions | big_tokenize_transform class | word cloud | word vectors | sparse_term_matrix class | token_stats class | helper functions for sparse_matrices | tokenization | utility functions
Word vectors - doc2vec - text clustering5 years ago
textTinyR - fastTextR - doc2vec - kmeans - cluster_medoids
Geospatial Queries using Pymongo in R5 years ago
The GeoMongo package | queries based on first example blog post | queries based on the second (MongoDB) documentation example | When to input data in bson rather than in json format (applies to the geomongo R6 class)
Image segmentation based on Superpixels and Clustering5 years ago
Superpixels | Image segmentation | Affinity Propagation | Image segmentation based on superpixels (SLIC, SLICO) and Affinity Propagation (AP) | Superpixels, AP and Kmeans (or Mini-Batch-Kmeans) | Image Masks
Non Metric Space ( Approximate ) Library in R6 years ago
The nmslibR package | class | functions | Sparse matrices as input | The NMSlib R6-class | KernelKnn using the nmslibR package
Functionality of the fastText R package7 years ago
print_parameters | Print Usage Functions | fasttext_interface
Regularized Greedy Forest in R8 years ago
The RGF package | classes | functions | Sparse matrices as input | Comparison of RGF with ranger and xgboost
Extreme Learning Machine8 years ago
Differences between the elmNN (R package) and the elmNNRcpp (Rcpp Package) | The elmNNRcpp functions | elmNNRcpp in case of Regression | elmNNRcpp in case of Classification | Classify MNIST digits using elmNNRcpp
binary classification using the ionosphere data9 years ago
The KernelKnn function | The KernelKnnCV function | Adding or multiplying kernels
Regression using the Housing data9 years ago
The KernelKnn function | The KernelKnnCV function | Adding or multiplying kernels
Functionality of the fuzzywuzzyR package9 years ago
classes | functions | FuzzExtract | FuzzMatcher | FuzzUtils | GetCloseMatches | SequenceMatcher
Image classification of the MNIST and CIFAR-10 data using KernelKnn and HOG (histogram of oriented gradients)10 years ago
dependencies | MNIST data set | KernelKnnCV using truncated svd | KernelKnnCV and HOG (histogram of oriented gradients) | CIFAR-10 data set | KernelKnnCV using HOG (histogram of oriented gradients)