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Type: User
Company: Xi'an Jiaotong University
Location: Xi'an shaanxi
Type: User
Company: Xi'an Jiaotong University
Location: Xi'an shaanxi
2020年的算法实习岗位/校招公司信息表,部分包括内推码,和常见深度学习算法岗面试题及答案,暑期计算机视觉实习面经和总结
An Introduction to Deep Learning for the Physical Layer vs End-to-End Learning of Communications Systems Without a Channel Model
A fast simulator and a library dedicated to the channel coding.
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理等热门领域
Algorithm for Interview(面试算法笔记-中文)
Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8054694/
This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis
Automatic feature engineering using deep learning and Bayesian inference using Keras and TensorFlow.
Some Code for Master Thesis - Research on Deep Learning Based Modulation Recognition Technologies
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
List of open source channel coding projects and libraries.
面试高频算法题总结,个人博客
Leetcode、剑指Offer——名企面试官精讲典型编程题
🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~
Some teaching materials about MIMO in Communications.
Differentiable architecture search for convolutional and recurrent networks
This repository contains the code reproducing the results in the paper "Deep Completion Autoencoders for Radio Map Estimation"
A framework to estimate the Channel State Information for a 5G communication
Python for “Deep Learning”,《深度学习》数学推导、原理与代码实现
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 collection of various deep learning architectures, models, and tips
Simulation of a communication channel written in Python
Teaches a student network from the knowledge obtained via training of a larger teacher network
This repository implements the technique of distillation to transfer knowledge from a large neural net to a small one.
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.