yzz960802's starred repositories

awesome-spider

爬虫集合

License:MITStargazers:22080Issues:0Issues:0

python_for_data_analysis_2nd_chinese_version

《利用Python进行数据分析·第2版》

Stargazers:7619Issues:0Issues:0

Paper-with-Code-of-Wireless-communication-Based-on-DL

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

Stargazers:1787Issues:0Issues:0
Language:PythonStargazers:9Issues:0Issues:0

Deepcom

a CNN based end to end communication systems

Language:PythonStargazers:37Issues:0Issues:0

magic-python

Python 黑魔法手册

Language:PythonStargazers:3297Issues:0Issues:0

LeetcodeTop

汇总各大互联网公司容易考察的高频leetcode题🔥

Stargazers:18424Issues:0Issues:0

InterpretableMLBook

《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

License:GPL-3.0Stargazers:4817Issues:0Issues:0

pytorch_convlstm

convolutional lstm implementation in pytorch

Language:PythonStargazers:155Issues:0Issues:0

ConvLSTM_pytorch

Implementation of Convolutional LSTM in PyTorch.

Language:PythonLicense:MITStargazers:1926Issues:0Issues:0

RNN-Conv-Decoder

Accompanying code of paper "On Recurrent Neural Networks for Sequence-based Processing in Communications" by Daniel Tandler, Sebastian Dörner, Sebastian Cammerer, Stephan ten Brink.

Language:Jupyter NotebookStargazers:10Issues:0Issues:0

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

Language:Jupyter NotebookLicense:MITStargazers:53Issues:0Issues:0

The-Learning-Documentation-Project

This documentation is archived. Updates are only available in https://gitlab.com/gorlapraveen/TheLearningDocumentationProject

License:NOASSERTIONStargazers:33Issues:0Issues:0

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

Stargazers:174078Issues:0Issues:0

AI-research-tools

:hammer:AI 方向好用的科研工具

License:MITStargazers:2197Issues:0Issues:0

CommPy

Digital Communication with Python

Language:PythonLicense:BSD-3-ClauseStargazers:540Issues:0Issues:0

deepcom

[NOT OFFICIAL VERSION] Communication Algorithms via Deep Learning. Paper: https://arxiv.org/abs/1805.09317

Language:Jupyter NotebookStargazers:20Issues:0Issues:0

Deep-Learning-with-PyTorch-Chinese

本仓库将PyTorch官方书籍《Deep learning with PyTorch》(基本摘录版)翻译成中文版并给出可运行的相关代码。

Language:Jupyter NotebookStargazers:1039Issues:0Issues:0

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Language:Jupyter NotebookStargazers:4629Issues:0Issues:0

LeetCode

LeetCode solutions with Chinese explanation & Summary of classic algorithms.

License:MITStargazers:374Issues:0Issues:0

Deep-Learning-with-TensorFlow-book

深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

Language:Jupyter NotebookStargazers:13173Issues:0Issues:0

Paper-with-Code-of-Wireless-communication-Based-on-DL

无线与深度学习结合的论文代码整理/Wireless based on deep learning papers' code

Stargazers:81Issues:0Issues:0