mh-lan's Stars
elder-frog/OpenCourseCatalog
Bilibili 公开课目录
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
0voice/from_coder_to_expert
2021年最新总结,从程序员到CTO,从专业走向卓越,分享大牛企业内部pdf与PPT
MisterBooo/LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
Louiszhai/tool
开发效率提升:Mac生产力工具链推荐
Awesome-Windows/Awesome
:computer: 🎉 An awesome & curated list of best applications and tools for Windows.
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
TheAlgorithms/Python
All Algorithms implemented in Python
nndl/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
musicbeer/Deep-Learning-for-the-Physical-Layer
PyTorch implementation for part of paper "An Introduction to Deep Learning for the Physical Layer" by Kenta Iwasaki on behalf of Gram.AI.
996icu/996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
sydney222/Python_CsiNet
Python code for "Deep Learning for Massive MIMO CSI Feedback"
MorvanZhou/PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
ncsa/NCSA-Genomics_MLCC
Deep autoencoder for unsupervized multi-label cancer classification.
immortal3/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/
Haoran-S/TSP-DNN
Training Deep Neural Networks for Wireless Resource Management
gram-ai/radio-transformer-networks
A PyTorch implementation of Radio Transformer Networks from the paper "An Introduction to Deep Learning for the Physical Layer".