Beast code in Giters

Qing Wang's repositories

Awesome-Code

Links to a curated list of awesome implementations of models.

010

BasicExperimentTools

basic experiment tools for action detection in video.

Language:Python010

C3D

C3D is a modified version of BVLC caffe to support 3D ConvNets.

Language:C++NOASSERTION010

caffe

A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

Language:C++NOASSERTION010

CaffeCN

caffecn_master

Language:C++NOASSERTION010

clockwork-fcn

Clockwork Convnets for Video Semantic Segmenation

Language:Jupyter NotebookNOASSERTION010

CS231

My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition

Language:Jupyter Notebook010

dynamic-image-nets

Dynamic Image Networks for Action Recognition

Language:MATLAB010

MyRepository

My first repository.

Language:Python010

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

Language:PythonNOASSERTION010

EDGE_AIM

Official PyTorch Implementation of EDGE (CVPR 2023)

Language:PythonMIT000

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Language:PythonApache-2.0010