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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

automated-seismic-phase-recognition-using-neural-networks

A convolutional neural network to classify seismic phases

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

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-denoise

All latest image/burst/video Denoising papers with code & citation published in top conference and journal.

awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bruges

Geophysics library with various helpful functions

cdrp_tf

CNN Event Detection & RNN Phase Picking (in Tensorflow)

cnn_microseismic

Deep learning on microseismic data

complex-cnn-seismic

compressivesensingdictionarylearning

Compressive Sensing using Sparse Dictionary Learning

convdenoise

A convolutional denoising autoencoder for seismic monitoring (Viens and Van Houtte, 2019, GJI)

convnetquake

Convolutional Neural Network for Earthquake detection and location

cp11fall_project1

Implementation of Edge-Preserving Multiscale Image Decomposition Based on Local Extrema

cuqrtm

cuQRTM is a CUDA-based code package that implements Q-RTMs based on a set of stable and efficient strategies, such as streamed CUFFT, checkpointing-assisted time-reversal reconstruction (CATRC) and adaptive stabilization.

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.

datasciencepython

common data analysis and machine learning tasks using python

decomposets

A highly generic time series decomposition algorithm, applicable to temporal sequence segmentation (e.g., video, speech, motion sequences).

deep-denoising-autoencoder-for-seismic-random-noise-attenuation

Deep Denoising Autoencoder for Seismic Random Noise Attenuation

deep-learning-applied-to-seismic-data

Seismic data interpolation. C++ implementation.

deepdenoiser

DeepDenoiser: Seismic Signal Denoising and Decomposition Using Deep Neural Networks

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06