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Face Recognition Project on MXNet
High-Speed Tracking with Kernelized Correlation Filters
Code and models from the paper "Layer Normalization"
A binary library for face detection in images. You can use it free of charge with any purpose.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.
Caffe Implementation of Google's MobileNets
Repository for "Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks", implemented with Caffe, C++ interface.
MTCNN Face Detection & Alignment
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd
Introduction The project presents an efficient method for object detection and demonstrates its use for real-time vision on-board vehicles. The work is closely based on Paul Viola’s face detection method [1], except that the system here was trained to detect objects related to traffic in order to assist the auto pilot on smart vehicles. The idea was adapted from D M Gavrila’s paper [2] REAL-TIME OBJECT DETECTION FOR "SMART" VEHICLES. Objective The target is to create Haar feature-based cascade classifiers by training the system with an appropriate amount of traffic related information in order to detect vehicles, pedestrians and traffic signs in real-time. Thus, this system in addition to driving assistance/collision avoidance, could further find its application in tracking and recognition.
Repository for OpenCV's extra modules
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Convert PyTorch model to Caffemodel
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
A list of papers on General Adversarial (Neural) Networks
Supervised Descent Method Apply to Face Alignment, and Head Pose Estimation with Linear Regression. It is cross-platfrom, easily compile in windows, ubuntu, even in Android & iOS.
This is a fast caffe implementation of ShuffleNet.
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
A tweaked version of the SuBSENSE background subtraction library.
Computation using data flow graphs for scalable machine learning
谷歌全新开源人工智能系统TensorFlow官方文档中文版
Resources and codes about transfer learning and domain adaptation--迁移学习
demo about the usage of tvm.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.