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deepcr icon deepcr

Deep Learning Based Cosmic Ray Removal for Astronomical Images

deepcr-paper icon deepcr-paper

Code to reproduce results in the paper, deepCR: Cosmic Ray Rejection with Deep Learning (Zhang & Bloom (2019))

deeplearning icon deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

deeplearning-500-questions icon 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

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

diffusion_mhd_modes icon diffusion_mhd_modes

We compute the diffusion coefficient generated by the scattering of CR particles off the Magnetohydrodynamic (MHD) modes, within parametrized turbulent spectra.

disk_data_analysis icon disk_data_analysis

Analysis and Plotting Tools for HDF5 simulation data of meshless/moving-mesh hydrodynamical disks

disk_models icon disk_models

Sets of routines to setup three-dimensional models of accretion disks

dive-into-astropy icon dive-into-astropy

A coarse introduction on how to use Astropy to release your hands when doing astrophysics and astronomy research

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet代码实现改为PyTorch实现。

dive-into-dl-tensorflow2.0 icon dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的同意

dlfs_code icon dlfs_code

Code for the book Deep Learning From Scratch, from O'Reilly September 2019

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