Pinned Repositories
PDF-Extract-Kit
A Comprehensive Toolkit for High-Quality PDF Content Extraction
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
data-information-measurement
数据信息测量
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-models
self build deep learning models
HugeCTR
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
pycharm-monokai
Alternative Monokai themes (sublime / boxy) for Pycharm with .jar / .icls
pytorch-model-examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
STGCN-Pytorch
Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal graph convolutional network with PyTorch
vincent-cj's Repositories
vincent-cj/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
vincent-cj/data-information-measurement
数据信息测量
vincent-cj/DCRNN
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
vincent-cj/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
vincent-cj/deep-learning-models
self build deep learning models
vincent-cj/HugeCTR
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
vincent-cj/pycharm-monokai
Alternative Monokai themes (sublime / boxy) for Pycharm with .jar / .icls
vincent-cj/pytorch-model-examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
vincent-cj/STGCN-Pytorch
Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal graph convolutional network with PyTorch