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Name: DS
Type: User
Name: DS
Type: User
Implementation of "Learning with Random Learning Rates" in PyTorch.
A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.
Pytorch original implementation - 'Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets'
Base to channel pruned to ResNet18 model
Automatically exported from code.google.com/p/cuda-convnet
Automatically exported from code.google.com/p/cuda-convnet2
Differentiable architecture search for convolutional and recurrent networks
Pytorch implementation of deep person re-identification models.
23 hand-annotated attributes of Duke dataset
A PyTorch implementation of EfficientNet
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Multi-view Face Detection Using Deep Convolutional Neural Networks
Hyperparameter optimization with approximate gradient
[ECCV2020] a toolbox of light-reid learning for faster inference, speed both feature extraction and retrieval stages up to >30x
27 hand-annotated attributes of Market-1501
MatConvNet: CNNs for MATLAB
PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
Network Slimming (Pytorch)
PyTorch implementation of PNASNet-5 on ImageNet
A simple reproduction of Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training (CVPR2019).
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)
Convert models from MatConvNet to PyTorch
A PyTorch implementation of MobileNet V2 architecture and pretrained model.
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
Visual tracking library based on PyTorch.
PyTorch implementation of SENet
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.