A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Tutorial for pycaffe, the Python API to the Neural Network framework, Caffe

Tutorial for pycaffe, the Python API to the Neural Network framework, Caffe

Python client for Baidu Yun (Personal Cloud Storage) 百度云/百度网盘Python客户端

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

TextBoxes: A Fast Text Detector with a Single Deep Neural Network

Vehicle Tracking and Detection Project Submitted for Udacity's CND using Traditional Computer Vision and Machine Learning Techniques.

The Matlab implementation of Supervised Descent Method (SDM) for Face Alignment.

This branch is developed for deep face recognition

Caffe: a fast open framework for deep learning.

Use torch in python for deep learning.

This code is the implementation of the method proposed in the paper “Multi-script text extraction from natural scenes” (Gomez & Karatzas) to appear in ICDAR2013 conference.

Caffe

A C++ implementation of OpenTLD

Caffe: a Fast framework for neural networks. For the most recent version, check out branch dev. For a more stable version, check out branch master.

C++11 implementation of the supervised descent optimisation method