338 skills found · Page 5 of 12
cmharlow / GetUrReconAll that entity matching, resolution, normalization, enhancement and reconciliation madness, but with a focus on data, not platforms.
paulmach / OsmzenOSM data into a kind/kind_detail normalization using tilezen configs
marchinho11 / HnhmToolkit for Agile-driven data modeling and data loading using highly Normalized hybrid Model
seanbrant / Django FilchCustom model fields that make de-normalizing data in Django easier
HosseinEbrahimiK / ScNormFlowsThe material in this repository is about implementing the Normalizing Flows for single-cell data.
jaspershen / MetNormalizerMetNormalizer is used to normalize large scale metabolomics data.
sharmaroshan / Weed DetectionThis Problem is based on a Image Data set consisting of different types of weeds, to detect them in crops and fields. I have used Deep Learning Model called CNN(Convolutional Neural Networks) with Dropout, Batch Normalization, ReduceLearning rate on plateau, Early stoppig rounds, and Transposd Convolutional Neural Networks.
jonschlinkert / PlasmaEasily load and normalize data to be passed to templates as context. Pass an object directly, or pass glob patterns or file paths to any JSON, YAML or CSV files to use.
AlexanderSouthan / PyPreprocessingEspecially useful for preprocessing of datasets like Raman spectra, infrared spectra, UV/Vis spectra, but also HPLC data and many other types of data. pyPreprocessing includes baseline correction, smoothing, filtering, normalization and transformation.
ArminMoghimi / Awesome Remote Sensing Relative Radiometric Normalization DatasetsA. Moghimi, A. Mohammadzadeh, T. Celik and M. Amani, "A Novel Radiometric Control Set Sample Selection Strategy for Relative Radiometric Normalization of Multitemporal Satellite Images," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 3, pp. 2503-2519, March 2021, doi: 10.1109/TGRS.2020.2995394.
xucong-zhang / Data Preprocessing GazeUpdated code for paper "Revisiting Data Normalization for Appearance-Based Gaze Estimation"
ELHoussineT / AutoDataCleanerSimple and automatic data cleaning in one line of code! It performs one-hot encoding, date & time casting to datetime dtype, detects binary columns, safely convert non-numeric columns to numeric dtypes, cleaning dirty/empty values, normalizing values and removing unwanted columns all in one line of code. Get your data ready for model training and fitting quickly.
manyasrinivas2021 / AI BASED FACIAL EMOTION DETECTION USING DEEP LEARNING“AI Based Facial Emotion Detection”, developed using many machine learning algorithms including convolution neural networks (CNN) for a facial expression recognition task. The goal is to classify each facial image into one of the seven facial emotion categories considered in this study.Trained CNN models with different depth using gray-scale images from the Kaggle website.CNN models are developed in Pytorch and exploited Graphics Processing Unit (GPU) computation in order to expedite the training process. In addition to the networks performing based on raw pixel data,Hybrid feature strategy is employed by which trained a novel CNN model with the combination of raw pixel data and Histogram of Oriented Gradients (HOG) features. To reduce the over fitting of the models,different techniques are utilized including dropout and batch normalization in addition to L2 regularization. Cross validation is applied to determine the optimal hyper-parameters and evaluated the performance of the developed models by looking at their training histories. Visualization of different layers of a network is presented to show what features of a face can be learned by CNN models. Based on the emotion the program recommends the music for the user to up flit the mood.
jennydsuza9 / Disorder NormalizerA system for normalizing disorder mentions in biomedical data.
Namoshek / Laravel Scout DatabaseA generic Laravel Scout driver which performs full-text search on indexed model data using an SQL database as storage backend. Indexed data is stored in normalized form, allowing efficient search.
darkredz / Zeko Data MapperA lightweight data mapper library in Kotlin that helps to map the result of queries from your normalized dataset(from RDBMS or any source) back into relational mapped Hash maps
jddeguia / Compare Forecast ModelsEnergy production of photovoltaic (PV) system is heavily influenced by solar irradiance. Accurate prediction of solar irradiance leads to optimal dispatching of available energy resources and anticipating end-user demand. However, it is difficult to do due to fluctuating nature of weather patterns. In the study, neural network models were defined to predict solar irradiance values based on weather patterns. Models included in the study are artificial neural network, convolutional neural network, bidirectional long-short term memory (LSTM) and stacked LSTM. Preprocessing methods such as data normalization and principal component analysis were applied before model training. Regression metrics such as mean squared error (MSE), maximum residual error (max error), mean absolute error (MAE), explained variance score (EVS), and regression score function (R2 score), were used to evaluate the performance of model prediction. Plots such as prediction curves, learning curves, and histogram of error distribution were also considered as well for further analysis of model performance. All models showed that it is capable of learning unforeseen values, however, stacked LSTM has the best results with the max error, R2, MAE, MSE, and EVS values of 651.536, 0.953, 41.738, 5124.686, and 0.946, respectively.
emiburns / Complete Guide To Database Normalization In SQLRepo for Towards Data Science article demonstrating relational database normalization
objectionary / PhinoCommand-Line Normalizer, Rewriter, and Dataizer of 𝜑-Calculus Expressions
0xdefendA / Defenda Data LakedefendA Data Lake. A firehose pipeline to athena providing enrichment and normalization for security events
