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abbrv.jabref.org

A repository of abbreviations for references, e.g., for conferences, journals, institutes, etc.

alista

This repository is the implementation for ICLR 2019 paper "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA" by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.

awesome-image-classification

A curated list of deep learning image classification papers and codes

buptgraduatethesis

coding-interview-university

A complete computer science study plan to become a software engineer.

cost2100

cost2100model

Automatically exported from code.google.com/p/cost2100model

d-amp_toolbox

This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.

deep-image-prior

Image restoration with neural networks but without learning.

deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。

deep_complex_networks

Implementation related to the Deep Complex Networks

dive-into-dl-pytorch

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。

dl_ofdm

Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks

git_learning

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

ista-net-pytorch

ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)

iterative-bp-cnn

The codes reproduce the research of our work in our JSTSP paper "An Iterative BP-CNN Architecture for Channel Decoding under Correlated Noise"

keras

Deep Learning for humans

keras-contrib

Keras community contributions

keras-non-local-nets

Keras implementation of Non-local Neural Networks

keras-squeeze-excite-network

Implementation of Squeeze and Excitation Networks in Keras

ldamp_based-channel-estimation

This code is for the following paper: H. He, C. Wen, S. Jin, and G. Y. Li, “Deep learning-based channel estimation for beamspace mmwave massive MIMO systems,” IEEE Wireless Commun. Lett., vol. 7, no. 5, pp. 852–855, Oct. 2018.

leetcode

leetcode solutions.

leetcode-1

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

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）

lstm-mnist

RNN classifier built with Keras to classify MNIST dataset

notboxplot

plots things that are not boxplots

ofdm_dnn

onsager_deep_learning

Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"

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