Pinned Repositories
2020_algorithm_intern_information
2020年的算法实习岗位/校招公司信息表，和常见深度学习基础知识笔记、算法岗面试题答案，及暑期计算机视觉实习面经和总结。
academic-drawing
Providing codes (including Matlab and Python) for presenting experiment results.
Adaptive-Median-Filter
adf
Stationary and non-stationary multidimensional adaptive filters
alphacsc
Convolution dictionary learning for time-series
AMP
Adaptive Matching Pursuit
ASTRES_toolbox
The ASTRES Toolbox for Mode Extraction of Non-Stationary Multicomponent Signals
cnn_microseismic
Deep learning on microseismic data
ml4ms
Machine Learning for Microseismic - A Python package for implementing automated microseismic event detection with machine learning.
SeismicPro
Seismic data processing with ML and deep learning
cuplgb's Repositories
cuplgb/2020_algorithm_intern_information
2020年的算法实习岗位/校招公司信息表，和常见深度学习基础知识笔记、算法岗面试题答案，及暑期计算机视觉实习面经和总结。
cuplgb/adf
Stationary and non-stationary multidimensional adaptive filters
cuplgb/Automated-Seismic-Phase-Recognition-Using-Neural-Networks
A convolutional neural network to classify seismic phases
cuplgb/Awesome-AI-algorithm
人工智能算法方面的综合资料合集:包括求职面试、机器学习、深度学习、强化学习等方面的资料和代码
cuplgb/Awesome-Denoise
All latest image/burst/video Denoising papers with code & citation published in top conference and journal.
cuplgb/ConvDeNoise
A convolutional denoising autoencoder for seismic monitoring (Viens and Van Houtte, 2019, GJI)
cuplgb/Deep-Denoising-Autoencoder-for-Seismic-Random-Noise-Attenuation
Deep Denoising Autoencoder for Seismic Random Noise Attenuation
cuplgb/DeepDenoiser
DeepDenoiser: Seismic Signal Denoising and Decomposition Using Deep Neural Networks
cuplgb/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
cuplgb/DnCNN-Seismic-Data-Random-Noise-Supression
cuplgb/DnCNN_seismic_oceanography
cuplgb/FDwave3D
cuplgb/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
cuplgb/labuladong-fucking-algorithm
cuplgb/leetcode-master
LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
cuplgb/Machine-Learning-Collection
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
cuplgb/ML_toolbox
A Machine learning toolbox containing algorithms for non-linear dimensionality reduction, clustering, classification and regression along with examples and tutorials which accompany the Master level "Advanced Machine Learning" and "Machine Learning Programming" courses taught at EPFL by Prof. Aude Billard
cuplgb/n2v
This is the implementation of Noise2Void training.
cuplgb/noise2noise
Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper
cuplgb/numpy-ml
Machine learning, in numpy
cuplgb/opendenoising-benchmark
An Open Source Benchmark for Evaluating Image Denoising Algorithms
cuplgb/OpenSource
Code for geophysical 3D/2D Finite Difference modelling, Marchenko algorithms, 2D/3D x-w migration and utilities.
cuplgb/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
cuplgb/pykonal
Travel-time calculator based on the fast-marching method solution to the Eikonal equation.
cuplgb/SeismicLab
Matlab research tools to read, write and process seismic data
cuplgb/SeismicPro-1
Seismic data processing with ML and deep learning
cuplgb/SP_Lib
Signal processing method and algorithm library
cuplgb/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
cuplgb/Toolbox-for-Adaptive-Fourier-Decomposition
Toolbox of adaptive Fourier decomposition (AFD) including MATLAB and Python versions. The MAFD has been published in IEEE TSP (DOI: 10.1109/TSP.2022.3143723)
cuplgb/Top-Deep-Learning
Top 200 deep learning Github repositories sorted by the number of stars.