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-deeplearningbook-chinese

Deep Learning Book Chinese Translation

-easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

-easyrl

强化学习教程即蘑菇书的学习笔记

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

algorithms

Minimal examples of data structures and algorithms in Python

bigdata_analyse

大数据分析项目

blog

Python机器学习算法技术博客，有原创干货！有code实践！ 【更多内容敬请关注公众号 "算法进阶"】

bookskeeper

对各类图书资源的收集。大量计算机、AI方面书籍。

caffe

Caffe for Sparse and Low-rank Deep Neural Networks

cgnn

Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"

competition-baseline

数据科学竞赛知识、代码、思路

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

cs-notes

我的自学笔记，终身更新，当前专注System基础、MLSys。

cs-notes-1

: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

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

dlwpt-code

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

dopmc

Datawhale 开源项目管理委员会（Datawhale Open-source Project Management Committee，简称DOPMC）

dstagnn

DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.

exercise-for-nndl

exercise for nndl神经网络与深度学习编程练习

fucking-algorithm

labuladong算法套路

gdgnn

gman

GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.

gnn-recommender-systems

An index of recommendation algorithms that are based on Graph Neural Networks.

gnn4traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

gnnbook_related

《图神经网络：基础与前沿》相关资料