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leiyan1225's Projects

2019_algorithm_intern_information icon 2019_algorithm_intern_information

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

aalto-dl-for-physical-layer icon aalto-dl-for-physical-layer

An Introduction to Deep Learning for the Physical Layer vs End-to-End Learning of Communications Systems Without a Channel Model

aff3ct icon aff3ct

A fast simulator and a library dedicated to the channel coding.

ai-learn icon ai-learn

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

autoencoder-based-communication-system icon autoencoder-based-communication-system

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/

autoencoder_for_physical_layer icon autoencoder_for_physical_layer

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

autoencoders_keras icon autoencoders_keras

Automatic feature engineering using deep learning and Bayesian inference using Keras and TensorFlow.

awesome-automl-and-lightweight-models icon awesome-automl-and-lightweight-models

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.

bgcn icon bgcn

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

code icon code

面试高频算法题总结,个人博客

cs-books icon cs-books

🔥🔥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~

csp icon csp

Some teaching materials about MIMO in Communications.

darts icon darts

Differentiable architecture search for convolutional and recurrent networks

deep-autoencoders-cartography icon deep-autoencoders-cartography

This repository contains the code reproducing the results in the paper "Deep Completion Autoencoders for Radio Map Estimation"

deeplearning icon deeplearning

Python for “Deep Learning”,《深度学习》数学推导、原理与代码实现

deeplearning-500-questions icon deeplearning-500-questions

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

distillingneuralnets icon distillingneuralnets

This repository implements the technique of distillation to transfer knowledge from a large neural net to a small one.

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