nicklhy Goto Github PK

adversarialautoencoder

Adversarial AutoEncoder implemented with MXNet

caffe-dev

Caffe: a fast open framework for deep learning.

cam

This demo shows the method proposed in "Zhou, Bolei, et al. "Learning Deep Features for Discriminative Localization." arXiv preprint arXiv:1512.04150 (2015)".

cnn_loss_surface

compcar_analysis

Source code of some classification experiments evaluated on the newly published vehicle dataset CompCar

dlinfbench

CNN model inference benchmarks for some popular deep learning frameworks

easypr

An open source project for chinese plate recognition. It aims to be Easy, Flexible, and Accurate. Welcome to contribute your expertise !

fast-rcnn

Fast R-CNN

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

leo-config

Some configuration files of my own system

memn2n

MXNet implementation of End-To-End Memory Networks for language modelling.

movingshadowremove

remove the moving cast shadow

nicklhy.github.io

A blog

numpy-boost

A wrapper allowing Numpy arrays to be accessed in C++ as boost::multi_array objects

py-faster-rcnn

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

resnet_caffe2mxnet

convert the deep-residual-network(50, 101, 152) from caffe to mxnet

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

vehicle_detector