Caffe: a fast open framework for deep learning.

OpenPose的简单实现版本，简洁不简单，so easy. 就一个cpp

pytorch implementation of openpose including Hand and Body Pose Estimation.

Library for Fast and Flexible Human Pose Estimation

Training repository for OpenPose

LSTM implementation on Caffe

PyTorch re-implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC datasets

DeepLab v3+ model in PyTorch. Support different backbones.

Models and examples built with TensorFlow

A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python

Sarasa Gothic / 更纱黑体 / 更紗黑體 / 更紗ゴシック / 사라사 고딕

Benchmark datasets, data loaders, and evaluators for graph machine learning

PyTorch implementation of spectral graph ConvNets, NeurIPS’16

Strategies for Pre-training Graph Neural Networks

Materials for DGL hands-on tutorial in WWW 2020

The new Windows Terminal and the original Windows console host, all in the same place!

Resources of semantic segmantation based on Deep Learning model

Graph Neural Networks with Keras and Tensorflow 2.

Learning Convolutional Neural Networks with Interactive Visualization.

LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods

The ultimate Vim configuration (vimrc)

Task Release

Semi-supervised learning with graph embeddings

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Implementation of Graph Convolutional Networks in TensorFlow

Graph Neural Network

DeepWalk - Deep Learning for Graphs

Representation learning on large graphs using stochastic graph convolutions.