cuplgb

cuplgb's Stars

• hanyoseob/pytorch-noise2void

  Noise2Void - Learning Denoising from Single Noisy Images

  Language:Python11814

• NVlabs/noise2noise

  Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper

  Language:Python1.4k312

• Oboue/MATamf

  MATamf is a Matlab package for the advanced median filter (AMF) for improving the signal-to-noise ratio of seismological datasets.

  Language:MATLAB51

• msacchi/SeismicLab

  Matlab research tools to read, write and process seismic data

  Language:MATLAB8020

• leileely/FDwave3D

  Language:MATLAB2818

• microsoft/DeepSpeed

  DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

  Language:Python36.1k4.2k

• ricedsp/rwt

  The Rice Wavelet Toolbox (RWT) is a collection of Matlab M-files and C MEX-files for 1D and 2D wavelet and filter bank design, analysis, and processing. The toolbox provides tools for denoising and interfaces directly with our Matlab code for wavelet domain hidden Markov models and wavelet regularized deconvolution.

  Language:MATLAB13647

• ricedsp/prDeep

  This package contains the code to run prDeep; a noise robust phase retrieval algorithm based on deep neural networks.

  Language:Matlab4512

• hiroyuki-kasai/NMFLibrary

  NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1

  Language:MATLAB31797

• jiajunhua/labuladong-fucking-algorithm

  773187

• ganlubbq/GitLAB

  MATLAB Master Folder. Contains subjects including Digital Signal Processing, Wireless Communication Systems, Beamforming, and Adaptive Filtering.

  Language:Matlab286

• dfourer/ASTRES_toolbox

  The ASTRES Toolbox for Mode Extraction of Non-Stationary Multicomponent Signals

  Language:Matlab408

• ricedsp/D-AMP_Toolbox

  This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.

  Language:MATLAB20588

• zhulingchen/SSSI

  Seismic Simulation, Survey, and Imaging (SSSI)

  Language:Matlab4419

• aadm/geophysical_notes

  Collection of geophysical notes in the form of IPython/Jupyter notebooks.

  Language:Jupyter Notebook15476

• gpeyre/matlab-toolboxes

  Contains all my Matlab toolboxes.

  Language:Matlab326227

• YangletLiu/ShearLet_CNN_Super_Resolution

  Language:MATLAB31

• YangFangShu/FCNVMB-Deep-learning-based-seismic-velocity-model-building

  Deep-learning inversion: A next-generation seismic velocity model building method

  Language:Python17951

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook17k4.2k

• tarmiziAdam2005/Image-Signal-Processing

  Collection of inverse problems in image processing via Alternating Direction Method (ADM), Alternating Minimization Method (AMA), Group Sparse signal denoising and Majorization-Minimization optimization based image/signal processing

  Language:MATLAB5932

• hiroyuki-kasai/SparseGDLibrary

  MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

  Language:Matlab5331

• oseledets/TT-Toolbox

  The git repository for the TT-Toolbox

  Language:MATLAB19373

• canyilu/LibADMM-toolbox

  A Library of ADMM for Sparse and Low-rank Optimization

  Language:MATLAB351115

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.8k4k

• srafay/Machine_Learning_A-Z

  Learning to create Machine Learning Algorithms

  Language:Python384198

• HerrMuellerluedenscheid/pinky

  Deep learning toolbox for earthquake localization and detection

  Language:Python3210

• pyrocko/pyrocko

  An official read-only mirror of https://git.pyrocko.org/pyrocko/pyrocko. A seismology toolkit for Python.

  Language:Python21880

• hktxt/Learn-Statistical-Learning-Method

  Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

  Language:Jupyter Notebook827272

• jbmouret/matplotlib_for_papers

  Handout for the tutorial "Creating publication-quality figures with matplotlib"

  Language:Jupyter Notebook2.1k305

• learnserd/SeismicPro

  Seismic data processing with ML and deep learning

  5529