Pinned Repositories
Awesome-time-series
综合性的时间序列会议论文
darts
A python library for user-friendly forecasting and anomaly detection on time series.
Datasets
A collection of datasets of ML problem solving（时间序列）
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
deepwalk
deepwalk的官方
ETDataset
ETD数据集
Faster-rcnn-keras
这是一个faster-rcnn的keras实现的库，可以利用voc数据集格式的数据进行训练。...
Finetune_alexnet_with_tensorflow
Alexnet网络。国内很多网络是基于这个网络进行改编的
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (非常好的范例，基于tensorflow)
Transformer--LTSF
transformer系列-[AAAI-23 Oral] "Are Transformers Effective for Time Series Forecasting?"
dingxiaojun2016's Repositories
dingxiaojun2016/Awesome-time-series
综合性的时间序列会议论文
dingxiaojun2016/darts
A python library for user-friendly forecasting and anomaly detection on time series.
dingxiaojun2016/Datasets
A collection of datasets of ML problem solving（时间序列）
dingxiaojun2016/deepwalk
deepwalk的官方
dingxiaojun2016/ETDataset
ETD数据集
dingxiaojun2016/Transformer--LTSF
transformer系列-[AAAI-23 Oral] "Are Transformers Effective for Time Series Forecasting?"
dingxiaojun2016/GAT-pytorch
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
dingxiaojun2016/GCN-pytorch
GCN with PyTorch
dingxiaojun2016/GCN-tensorflow
GCN 官方的 TensorFlow
dingxiaojun2016/Geometric_pytorch
PyTorch 的图处理库
dingxiaojun2016/gluonts
Probabilistic time series modeling in Python
dingxiaojun2016/GraphEmbedding
阿里巴巴的
dingxiaojun2016/graphSAGE-pytorch
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
dingxiaojun2016/handson-ml
Deep Learning in python using Scikit-Learn 这本书中示范的官方代码
dingxiaojun2016/M5-methods
Data, Benchmarks, and methods submitted to the M5 forecasting competition
dingxiaojun2016/ML-GCN
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
dingxiaojun2016/NLP-ML
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
dingxiaojun2016/NLP-tutorial
NLP语言的最大仓库。包括Word2vec
dingxiaojun2016/NLP_tutorial
NLP超强入门指南，包括各任务sota模型汇总（文本分类、文本匹配、序列标注、文本生成、语言模型），以及代码、技巧
dingxiaojun2016/node2vec
官方的node2vec
dingxiaojun2016/Power-Quality-Disturbances
dingxiaojun2016/Python-100-Days
Python - 100天从新手到大师
dingxiaojun2016/SSD-Tensorflow
一个有用的SSD TensorFlow
dingxiaojun2016/Tensorflow
An Open Source Machine Learning Framework for Everyone
dingxiaojun2016/tensorRT_Pro
C++ library based on tensorrt integration
dingxiaojun2016/The-Purchase-and-Redemption-Forecast-Challenge-baseline
天池“资金流入流出预测——挑战baseline”的解决方案，线上效果143.5
dingxiaojun2016/Train_Custom_Dataset
同济子豪-可解释性
dingxiaojun2016/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
dingxiaojun2016/Transformers-TS-review
transformers 系列在 time series.中的应用。没有代码
dingxiaojun2016/word_2_vec
word_2_vec b站上AI