david-ttao Goto Github PK

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-dynamicgraphlearning

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs). 将深度学习技术(图神经网络等)应用在动态图、动态网络、动态知识图谱上的论文、工具等。

continuousgnn

cost

PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

dynamic-graph-papers

动态图表示论文汇总

fedformer

gnn-algorithms

图神经网络相关算法详述及实现

gnn-benchmark

Framework for evaluating Graph Neural Network models on semi-supervised node classification task

gnn_review

GNN综述阅读报告

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-neural-network-review

graphmae

Code for KDD'22 paper "GraphMAE: Self-supervised Masked Graph Autoencoders.

introduction-to-time-series-forecasting-with-python

Code for the book: Introduction to Time Series Forecasting with Python

kdd20-hands-on-tutorial

Scalable Graph Neural Networks with Deep Graph Library

literaturedl4graph

A comprehensive collection of recent papers on graph deep learning

ltsf-linear

This is an official implementation for "Are Transformers Effective for Time Series Forecasting?"

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

mvts_transformer

Multivariate Time Series Transformer, public version

neural_collaborative_filtering

Neural Collaborative Filtering

paper-writing-tips

MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips

pumpkin-book

《机器学习》（西瓜书）公式详解

python-core-50-courses

Python语言基础50课

rgb-experiment

RGB-experiment package, run GNN baseline experiment() function.

rsalgorithms

all kinds of recommendation algorithms implement.

tfc-pretraining

Self-supervised contrastive learning for time series via time-frequency consistency

time-series-library

A Library for Advanced Deep Time Series Models.

timeseries101

本教程独立网站已上线

tnc_representation_learning