leslielee619

leslielee619's Stars

• fchollet/deep-learning-with-python-notebooks

  Jupyter notebooks for the code samples of the book "Deep Learning with Python"

  Language:Jupyter Notebook18.9k8.7k

• feiyangqingyun/qtkaifajingyan

  自己总结的这十多年做Qt开发以来的经验，以及Qt相关武林秘籍电子书，会一直持续更新增加，欢迎各位留言增加内容或者提出建议，谢谢！公众号：Qt实战/Qt入门和进阶/Qt教程

  4.1k927

• Ashing00/Tensorflow_Lenet5

  Using Tensorflow to implement Lenet5

  Language:Python1416

• ChawDoe/LeNet5-MNIST-PyTorch

  The simplest implementation of LeNet5 with mnist in PyTorch. Accuracy: ~99%

  Language:Python20357

• Mikoto10032/DeepLearning

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

  Language:Jupyter Notebook14.8k3.6k

• MemorialCheng/deep-learning-from-scratch

  《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》

  Language:Jupyter Notebook1.2k361

• ciyi233/MachineLearning-ZhouZhihua-PPT

  机器学习（周志华）PPT课件

  5012

• familyld/Machine_Learning

  周志华《机器学习》阅读笔记

  Language:Jupyter Notebook403143

• Vay-keen/Machine-learning-learning-notes

  周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

  7.4k1.9k

• DeerChen/Science_Reading_Book_Downloader

  下载科学文库电子书。

  Language:Python288

• txfly/CS

  255136

• Nitrosaccharose/qt-learning-guide

  🔋从零开始上手的Qt教程🔋 📟Qt学习指南📟 循序渐进的学习指南，生动的绘图展示，🌈缤纷色彩搭配，✏️适合初学者✏️ 门槛低 集合Qt的高评参考资料

  15914

• sallenkey-wei/cuda-handbook

  pdf

  8738

• hanyoseob/python-ART

  Algebraic Reconstruction Technique (ART)

  Language:Python125

• CERN/TIGRE

  TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

  Language:MATLAB602193

• huzing2524/foxconn_aoi

  富士康-金属件-自动化尺寸测量-计算机视觉

  Language:Python235

• asalmada/x-ray-images-enhancement

  Language:Python16053

• wugenqiang/NoteBook

  ✍ 记录一路走来学习的计算机专业知识 ，力求构建 AI & CS & SE 知识体系

  Language:C++281119

• gyan2976/Noise-in-Image-Processing

  Gaussian, Impulse(Salt & Pepper), Poisson, Speckle

  Language:Jupyter Notebook1

• IVRL/PoGaIN

  (SP Letters 2022) PoGaIN: Poisson-Gaussian Image Noise Modeling from Paired Samples

  Language:Jupyter Notebook101

• LuisWohlers/NoiseReconstruction

  Image noise reconstruction: Approximately reconstructing original image noise in a filtered image according to a Poisson-Gaussian signal-dependent noise model using PCA. Derived from a noise parameter estimation method presented by Stanyslav Pyatykh (http://physics.medma.uni-heidelberg.de/cms/projects/132-pcanle). Implemented in Python.

  Language:Python51

• DawyD/bm3d-gpu

  CUDA implementation of BM3D

  Language:C12030

• christianversloot/machine-learning-articles

  🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

  3.5k743

• TaoHuang2018/Neighbor2Neighbor

  Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images

  Language:Python26240

• hirezy/ImageProcessing100

  100道图像处理算法中文版

  Language:Python102

• eastmountyxz/ImageProcessing-Python

  该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。

  Language:Jupyter Notebook1.9k455

• garrettj403/SciencePlots

  Matplotlib styles for scientific plotting

  Language:Python7.3k713

• bannedbook/fanqiang

  翻墙-科学上网

  Language:Kotlin38.9k7.3k

• petrobras/ross

  ROSS is a library written in Python for rotordynamic analysis.

  Language:Python136105

• mdgschmi/RigidLinearRotor-MDMCHybrid

  This code performs rigid body rotations and translations for linear molecules. Rotation sampling is done using Metropolis Path Integral Monte Carlo and translation sampling is done using rejection-free Path Integral Molecular Dynamics using the Langevin equation thermostat.

  Language:Cython1