resampling
There are 172 repositories under resampling topic.
avaneev/r8brain-free-src
High-quality pro audio resampler / sample rate conversion C++ library. Very fast, for both audio resampling and time-series interpolation.
ar1st0crat/NWaves
.NET DSP library with a lot of audio processing functions
avaneev/avir
High-quality pro HDR image resizing / scaling C++ library, including a very fast, precise, SIMD Lanczos resizer (header-only C++)
pytroll/pyresample
Geospatial image resampling in Python
Araxeus/PNG-Upscale
AI Super - Resolution
fitushar/3D-Medical-Imaging-Preprocessing-All-you-need
This Repo Will contain the Preprocessing Code for 3D Medical Imaging
turion/rhine
Haskell Functional Reactive Programming framework with type-level clocks
MaxHalford/pytorch-resample
🎲 Iterable dataset resampling in PyTorch
damianhorna/multi-imbalance
Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
lzkelley/kalepy
Kernel Density Estimation and (re)sampling
mlr-org/mlr3spatiotempcv
Spatiotemporal resampling methods for mlr3
Magisk-Modules-Alt-Repo/resampling-for-cheapies
For avoiding "cheapie sound" distortion like a thin veiling smokescreen specific to LDAC Bluetooth earphones and DAC's under $30 (probably), this module sets near ideal re-sampling which involves special digital filtering at the system-wide mixer.
ramsafin/rtsp-video-server
RTSP video streaming server implementation based on Live555 and FFmpeg
realnc/SDL_audiolib
An audio decoding, resampling and mixing library for SDL.
djeedai/libfar
C/C++ fast audio resampling library
pongasoft/vst-sam-spl-64
A free/open source VST2, VST3 and AudioUnit plugin to easily split a sample in up to 64 slices
jonclayden/mmand
Mathematical Morphology in Any Number of Dimensions
TheDatumOrg/UCRArchiveFixes
2018 UCR Time-Series Archive: Backward Compatibility, Missing Values, and Varying Lengths
zikichombo/dsp
DSP and filtering library
bwinkel/cygrid
Cygrid is a cython-powered convolution-based gridding module for astronomy
unevens/hiir
A header only ready to include mirror of the HIIR library by Laurent De Soras, an oversampling and Hilbert transform library in C++, with additional support for double precision on ARM AArch64 using Neon.
Clownacy/clownresampler
Single-header-file library which implements an integer-only windowed-sinc audio resampler.
hofnerb/stabs
Stability Selection with Error Control
indrapaul824/Coronary-Heart-Disease-Prediction
This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project
business-science/modeltime.resample
Resampling Tools for Time Series Forecasting with Modeltime
NVlabs/RIO
Official PyTorch implementation of RIO
LucasCTN/world4utau
Mirror of the resampler world4utau in http://utau2008.xrea.jp/mp3/engine_hikaku.html
atif-hassan/Regression_ReSampling
A python library for repurposing traditional classification-based resampling techniques for regression tasks
autonomio/wrangle
A data transformation package for deep learning with Autonomio, Keras and TensorFlow.
dwiandhikaap/HFR-Resampler
HFR-Resampler is a tool to resample high frame-rate video into lower frame-rate video that aims highly customizable weighting.
newdigate/Audio
Teensy Audio Library
rmesch/Parallel-Bitmap-Resampler
Parallel high quality rescaling of VCL- and FMX- bitmaps
zeozeozeo/gomplerate
A fast and simple pure Go audio resampling (sample rate conversion) library with zero dependencies.
hwanyyy/preprocessing-of-speech
VAD + resampling | High resolution spectrogram
diheal/resampling
Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition
fischlerben/Machine-Learning-Credit-Risk
Machine-Learning project that uses a variety of credit-related risk factors to predict a potential client's credit risk. Machine Learning models include Logistic Regression, Balanced Random Forest and EasyEnsemble, and a variety of re-sampling techniques are used (Oversampling/SMOTE, Undersampling/Cluster Centroids, and SMOTEENN) to re-sample the data. Evaluation metrics like the accuracy score, classification report and confusion matrix are generated to compare models and determine which suits this particular set of data best.