Pinned Repositories
Graph-Neural-Network-Review
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
David-Ttao's Repositories
David-Ttao/ts2vec
A universal time series representation learning framework
David-Ttao/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, ... 🧠
David-Ttao/tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
David-Ttao/CoST
PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
David-Ttao/mvts_transformer
Multivariate Time Series Transformer, public version
David-Ttao/pumpkin-book
《机器学习》（西瓜书）公式详解
David-Ttao/Time-Series-Library
A Library for Advanced Deep Time Series Models.
David-Ttao/TFC-pretraining
Self-supervised contrastive learning for time series via time-frequency consistency
David-Ttao/Fedformer
David-Ttao/TNC_representation_learning
David-Ttao/TS-TCC
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
David-Ttao/GraphMAE
Code for KDD'22 paper "GraphMAE: Self-supervised Masked Graph Autoencoders.
David-Ttao/LTSF-Linear
This is an official implementation for "Are Transformers Effective for Time Series Forecasting?"
David-Ttao/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
David-Ttao/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
David-Ttao/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。
David-Ttao/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！
David-Ttao/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。
David-Ttao/timeseries101
本教程独立网站已上线
David-Ttao/Python-Core-50-Courses
Python语言基础50课
David-Ttao/ContinuousGNN
David-Ttao/rgb-experiment
RGB-experiment package, run GNN baseline experiment() function.
David-Ttao/dynamic-graph-papers
动态图表示论文汇总
David-Ttao/GNNPapers
Must-read papers on graph neural networks (GNN)
David-Ttao/GNN_Review
GNN综述阅读报告
David-Ttao/neural_collaborative_filtering
Neural Collaborative Filtering
David-Ttao/RsAlgorithms
all kinds of recommendation algorithms implement.
David-Ttao/TWP
David-Ttao/LiteratureDL4Graph
A comprehensive collection of recent papers on graph deep learning
David-Ttao/KDD20-Hands-on-Tutorial
Scalable Graph Neural Networks with Deep Graph Library