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Caffe on both Linux and Windows
testing and benchmarking some aspects of Caffe
Cumulative Accuracy Profile (CAP) is an alternative to ROC curves for evaluating model performance.
center loss for face recognition
[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
README and scripts for the Cityscapes Dataset
Cartesian k-means for approximate nearest neghbor search, codebook learning, etc.
Image Classification via Transfer Learning: Using Pre-trained Densely Connected Convolutional Network (DenseNet) weights
CNNGeometric MatConvNet implementation
CNNImageRetrieval: Training and evaluating CNNs for Image Retrieval
COCO API - Dataset @ http://cocodataset.org/
MatConvNet and Caffe repo with compact bilinear and bilinear pooling functionality added
A high-level toolbox for using complex valued neural networks in PyTorch
Conda documentation
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
Convolutional-Recursive Deep Learning for 3D Object Classification Richard Socher, Brody Huval, Bharath Bhat, Christopher D. Manning and Andrew Y. Ng Advances in Neural Information Processing Systems (NIPS 2012)
计算机自学指南
Automatically exported from code.google.com/p/cuda-convnet2
Second-order optimiser for deep networks
分享计算机视觉每天的arXiv文章
CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks (CVPR16)
A PyTorch toolbox for domain adaptation and semi-supervised learning.
A program for easier management and processing of iris images using OSIRIS
deep belief network toolbox written in Matlab, including algorithms of unsupervised feature learning, deep learning, and general machine learning
Deep Convolutional Generative Adversarial Network (DCGAN) implementation on MatConvNet (compliant to any MCN version)
Deep Convolutional Generative Adversarial Networks
A Tensorflow implementation of paper, Deep CORAL: Correlation Alignment for Deep Domain Adaptation
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.