文本分类baseline：BERT、半监督学习UDA、对抗学习、数据增强

Code for paper

This is a fast caffe implementation of ShuffleNet.

Acceleration package for neural networks on multi-core CPUs

Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

Repository for "Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks", implemented with Caffe, C++ interface.

Face landmarks(fiducial points) detection benchmark

Image augmentation for machine learning experiments.

This branch is developed for deep face recognition

deep reinforcement learning for personal research

Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks

Master's thesis

Convolutional Neural Networks

Creation of LMDB for training a multi-label loss in Caffe

Simple tutorials using Google's TensorFlow Framework

My course project for CS290I in UCSB

Open source software library for numerical computation using data flow graphs.

efficient, flexible, distributed deep learning framework

A curated list of deep learning resources for computer vision

fast, concise, distributed deep learning framework

waifu2x(original : https://github.com/nagadomi/waifu2x) re-implementation in C++ using OpenCV

a c++ implementation of face alignment in 3000fps

A minimalistic framework for fast object detection (with a pre-trained face detector)

A simple tool for labeling object bounding boxes in images

An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification