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The most cited deep learning papers
A curated list of deep learning resources for computer vision
A curated list of awesome self-supervised methods
:metal: awesome-semantic-segmentation
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
🌾🌽 Awesome lists about all crop simulation models
Build haplotye and generate figures
Cartopy tutorial: Around the world in 80 ways
A technical report on convolution arithmetic in the context of deep learning
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
In-depth tutorials for implementing deep learning models on your own with PyTorch.
DeepVis Toolbox
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
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Neural network visualization toolkit for keras
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
Opencv4.0 with python (English&中文), and will keep the update ! 👊
non-official implementation of Probabilistic Machine Learning
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
pydssat is a python project to run DSSAT47 model in python ,as well as creating/modification important files for DSSAT model.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Pytorch implementation of convolutional neural network adversarial attack techniques
Pytorch implementation of convolutional neural network visualization techniques
Image segmentation-Object detection-Light-weight network
简单粗暴 TensorFlow 2.0 | A Concise Handbook of TensorFlow 2.0
Visualization CNN model by Keras.
wtfpython的中文翻译/施工结束/ 能力有限,欢迎帮我改进翻译
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.