jren2017's repositories
caffe-cpp-examples
Examples of how to use the Caffe framework with C++
caffe_test
用训练好的caffe网络模型进行数字,少量汉字,特殊字符(./等)的识别(总共有210类)
CaffeBenchmark
Small test for benchmarking feed-forward time for several CNNs in Caffe (AlexNet, GoogLeNet, VGGNet, ResNet)
caffeclion
利用clion,使用caffe进行c++编程、调试
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
deeplearning-cats-dogs-tutorial
Source code for blog post: A Practical Introduction to Deep Learning with Caffe and Python
django-docker
A demo for deploying Django project on Docker.
ECCV16-CBN
Demo code + Caffe prototxt training file, for Shizhan Zhu et al.'s ECCV-16 work Deep Cascaded Bi-Network for Face Hallucination
imcl-caffe
windows环境caffe深度学习框架
jren2017.github.io
jren's static blog
mini-caffe
Minimal runtime core of Caffe porting to WIN32.
MXNetToCaffeConverter
Code to convert a MXNet model into Caffe (C++)
my-very-deep-caffe
This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HMDB51, Sports1M and ActivityNet easily.
style_transfer
Data-parallel image stylization using Caffe. Implements http://arxiv.org/abs/1508.06576.
transfer-caffe
caffe for transfer learning
TransferNet
A Caffe implementation of http://arxiv.org/abs/1512.07928
twostreamfusion
Code release for "Convolutional Two-Stream Network Fusion for Video Action Recognition", CVPR 2016.
vae_tutorial
Caffe code to accompany my Tutorial on Variational Autoencoders