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A Tensorflow implementation of paper, Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Code release for "Deep Texture Manifold for Ground Terrain Recognition", CVPR 2018
Deep Filter Banks for Texture Recognition, Description and Segmentation (CVPR15)
Collection of deep learning resources.
This repository contains the programming assignments for Deep Learning specialization courses by Andrew Ng. It deals with the following concepts. DNNs, Hyperparameter tuning, Regularization, Optimization, CNNs (LeNet5, AlexNet, VGG, ResNet, Inception Network), Transfer Learning (Neural Style Transfer), RNNs (LSTM, GRU) and Structuring Machine Learning Projects.
Introduction to Deep Neural Networks with Keras and Tensorflow
Keras code and weights files for popular deep learning models.
Jupyter notebooks for using & learning Keras
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Visual Attention Prediction (TIP18)
Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning
Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020
An Open-Source Package for Deep Learning to Hash (DeepHash)
Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.
Working copy of Deeplab repository
deeplab v2 implementation using matconvnet
Deep Lab Library for Semantic Segmentation using deep cnns and fully connected crfs
Deep feature pyramids for various computer vision algorithms (DPMs, pyramid R-CNN, etc.)
3-Class Retinal Classification via Deep Network Features and SVM Classifier (Academic Research Use)
Source code for our CVPR 2015 work on saliency detection by multi-context deep learning
A lightweight MATLAB wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Dual Linear Structed SVM
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
DSMIL: Multiple instance learning networks for tumor detection in Whole Slide Image
code for "Deeply supervised salient object detection with short connections" published in CVPR 2017
[ICLR 2022] Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference on Learning Representations (ICLR) 2022.
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.