jren2017's repositories
api-samples
Code samples for YouTube APIs, including the YouTube Data API, YouTube Analytics API, and YouTube Live Streaming API. The repo contains language-specific directories that contain the samples.
caffe-1
Caffe fork with unpool layers, deconvolution layers, locally connected layers, and a custom layer called TweakFeaturesLayer.
caffe-action
fork from https://github.com/yjxiong/caffe
Caffe-Data-Augmentation
a branc caffe with feature of Data Augmentation using a configurable stochastic combination of 7 data augmentation techniques.
caffe-docker-classifier
Set up your own classifier API based on pre-trained GoogleNet model and Caffe.
caffe-gui-tool
Node based Gui for creating caffe networks
caffe-master-20150826-triplet
基于20150826 caffe版本上添加的triplet loss与L2 normalize 层
caffe-posenet
Implementation of PoseNet
Caffe-Python-Basic-Tutorial
Includes implementation details of almost every layer, weight fillers, solvers, loss functions and data layer setup with every parameter.
caffe-utils
Additional scripts for caffe
caffe-weighted-samples
Caffe fork that supports training with weighted samples http://caffe.berkeleyvision.org/
caffe-windows
Caffe compilation for windows VS2013 from latest caffe-dev branch. Exact project is lying there https://github.com/BVLC/caffe
caffe2keras
a simple tool to translate caffe model to keras model
caffe_install
caffe在Ubuntu14.04和CentOS6.7上的自动安装脚本。
Caffe_Manual
Caffe使用教程
caffe_neural_tool
A C++ interface for the caffe library
caffe_titan
first attempts to run caffe on titan
caffe_web
ROS + Caffe on the web
CaffeFramework
Caffe framework for OS X
decaf-release
Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!
face_recognition
使用webface人脸数据集以及DeepID网络，通过Caffe训练出模型参数，得到LFW二分类的人脸识别准确率。
HappyNet
Convolutional neural network that does real-time emotion recognition. HappyNet detects faces in video and images, classifies the emotion on each face, then replaces each face with the correct emoji for that emotion. Based on Caffe and the "Emotions in the Wild" network available on Caffe model zoo.
leetcode
LeetCode Problems' Solutions
resnet-protofiles
Caffe Protofiles for MSRA ResNet
some-tips-for-caffe
some tips for caffe for windows
video-object-detection
Simple object detection in YouTube videos, using Caffe