bopang1996 Goto Github PK

academicpage

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

attention-over-attention

Implementation of Attention-over-Attention Neural Networks for Reading Comprehension (https://arxiv.org/abs/1607.04423) in TensorFlow

bopang1996.github.io

caffe

Caffe: a fast open framework for deep learning.

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

cu-dnn

deep-rnn-framework

Code for paper "Deep RNN Framework for Visual Sequential Applications".

hybrid-model-for-human-action-adverb-recognition

Baseline Code for ADHA dataset

indigo

:ramen: Minimalist Jekyll Template

lstm-for-action-estimation

models

Models built with TensorFlow

mrc-hia

A Hierarchical Iterative Attention Model for Machine Comprehension

neural-style

Neural style in TensorFlow! :art:

openpose

OpenPose: Real-Time Multi-Person Keypoint Detection Library for Body, Face, and Hands

pgt

Official code of paper "PGT: A Progressive Method for Training Models on Long Videos" on CVPR2021

pose-hg-train

Training and experimentation code used for "Stacked Hourglass Networks for Human Pose Estimation"

qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

realtime_multi-person_pose_estimation

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

rmpe

RMPE: Regional Multi-person Pose Estimation, forked from Caffe. Research purpose only.

semi-coupled-structure-for-visual-sequental-tasks

Code and demo of paper “Complex Sequential Understanding through the Awareness of Spatial and Temporal Concepts” submitted to Nature Machine Intelligence

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

smog

Official code for ECCV paper "Unsupervised Visual Representation Learning by Synchronous Momentum Grouping"

tensorflow

Computation using data flow graphs for scalable machine learning

tiger

Tiger Compiler

tubetk

Official implementation of paper: TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model (CVPR 2020 oral)