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Name: 潘达
Type: User
Bio: 喜欢编程机械设计师。
Location: 北京
Name: 潘达
Type: User
Bio: 喜欢编程机械设计师。
Location: 北京
100 Days of ML Coding
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Minimal examples of data structures and algorithms in Python
An open autonomous driving platform
😎 Awesome lists about all kinds of interesting topics
A curated list of awesome computer vision resources
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome Python frameworks, libraries, software and resources
Homepage for STAT 157 at UC Berkeley
技术资料分享
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
A complete computer science study plan to become a software engineer.
吴恩达老师的机器学习课程个人笔记
The Python programming language
Code for Stanford CS224u
Public facing notes page
《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(STAT 157)”教材。
This book is an introductory book in the true sense of deep learning. It analyzes the principles and related technologies of deep learning in a simple way. Using Python 3 in the book, try not to rely on external libraries or tools to lead the reader to create a classic deep learning network from scratch, so that readers can gradually understand deep learning in the process. The book not only introduces the basic knowledge of deep learning and neural network concepts, features, but also provides an in-depth explanation of error back propagation method, convolutional neural network, etc. Practical practical skills, automatic driving, image generation, reinforcement learning, etc., and why the deepening layer can improve the "why" of recognition accuracy. This book is suitable for deep learning beginners to read, but also can be used as a college textbook.
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
A Deep Learning based project for colorizing and restoring old images (and video!)
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
The Web framework for perfectionists with deadlines.
TensorFlow documentation
A simple tool to download video lectures from edx.org (and other openedx sites)
A MNIST-like fashion product database. Benchmark :point_right:
The Python micro framework for building web applications.
2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
All Algorithms implemented in Java
李宏毅《机器学习》笔记,在线阅读地址:https://datawhalechina.github.io/leeml-notes
The optimum C++ solutions for the leetcode
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.