XiongUp

anki-trigger-action-on-note

Allow to alter some card when actions are taken on other card

CamVid

CamVid original data set, and the generated 11 category labels and training grayscale images.

ColossalAI-Examples

Examples of training models with hybrid parallelism using ColossalAI

deep-learning-for-image-processing

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

gotorch

A Go idiomatic binding to the C++ core of PyTorch

patchmatch_inpainting

Implementation of PatchMatch for image inpainting in cpp

python-progressbar

Text progress bar library for Python

PyTorch-Tutorial

Build your neural network easy and fast

PyTorch_Semantic_Segmentation

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

reinforcement-learning-code

XiongUp/anki-trigger-action-on-note

Allow to alter some card when actions are taken on other card

XiongUp/CamVid

CamVid original data set, and the generated 11 category labels and training grayscale images.

XiongUp/ColossalAI-Examples

Examples of training models with hybrid parallelism using ColossalAI

XiongUp/deep-learning-for-image-processing

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

XiongUp/gotorch

A Go idiomatic binding to the C++ core of PyTorch

XiongUp/patchmatch_inpainting

Implementation of PatchMatch for image inpainting in cpp

XiongUp/python-progressbar

Text progress bar library for Python

XiongUp/PyTorch-Tutorial

Build your neural network easy and fast

XiongUp/PyTorch_Semantic_Segmentation

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

XiongUp/reinforcement-learning-code

XiongUp/XiongUp.github.io