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A curated list of MXNet examples, tutorials and blogs.
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
collection of dataset&paper&code on Vehicle Re-Identification
PCB of paper: Beyond Part Models: Person Retrieval with Refined Part Pooling, using Pytorch
Caffe: a fast open framework for deep learning.
An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification
Image Deblurring using Generative Adversarial Networks
The deeplearning algorithms implemented by tensorflow
Simple Tensorflow implementation of Densenet using Cifar10, MNIST
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015.
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
开源移动端车型识别[Experimental] Mobile Plateform Vehicle Identification Model
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
Minimal keyword extraction with BERT
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK and PyTorch.
Impementation of MobileNetV2 in pytorch
A New Padding Scheme: Partial Convolution based Padding
Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
95.16% on CIFAR10 with PyTorch
distant supervised relation extraction models: PCNN MIL (Zeng 2015), PCNN+ATT(Lin 2016). 关系抽取
Official PyTorch Implementation of Rank & Sort Loss [ICCV2021]
Single-Shot Refinement Neural Network for Object Detection
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.