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coursera中Andrew Ng的meachine learning的所有编程测验的原文件
coursera吴恩达机器学习课程作业自写Python版本+Matlab原版
My fork of Alex Krizhevsky's cuda-convnet from 2013 where I added dropout, among other features.
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
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。
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
123456
《统计学习方法》的代码实现
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Models and examples built with TensorFlow
NumPy官方中文文档(完整版)
《Pytorch模型训练实用教程》中配套代码
Various code metrics for Python code
unet for image segmentation
Datasets, Transforms and Models specific to Computer Vision
Awesome resources of yousan.ai(closely related to deep learning).
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.