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Type: User
Location: Tsinghua university, Beijing, China
Type: User
Location: Tsinghua university, Beijing, China
A curated list of Deep Learning resources sorted by reputation
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
Using Keras to validate the simulation results according to Paper : "An Introduction to Deep Learning for the Physical Layer"
A curated list of papers & resources linked to 3D reconstruction from images.
Java map matching library for integrating the map into software and services with state-of-the-art online and offline map matching that can be used stand-alone and in the cloud.
Implementation of the paper "Deep Learning-Based Channel Estimation"
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
code for deep learning courses
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
[NOT OFFICIAL VERSION] Communication Algorithms via Deep Learning. Paper: https://arxiv.org/abs/1805.09317
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,近30万字。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
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
Deep Learning Book Chinese Translation
Deep learning tutorial in Chinese/深度学习教程中文版
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。
✍️ 这里是写博客的地方 —— Halfrost-Field 冰霜之地
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南
《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版
:books: 技术面试需要掌握的基础知识整理,欢迎编辑~
2020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。
JSON for Modern C++
Reference implementations of popular deep learning models.
Keras implementations of Generative Adversarial Networks.
Deep Reinforcement Learning for Keras.
《MIMO-OFDM无线通信技术及MATLAB实现》随书源码
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
Models and examples built with TensorFlow
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.