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Name: wind222
Type: User
Name: wind222
Type: User
Code and hyperparameters for the paper "Generative Adversarial Networks"
Recurrent Neural Network - A curated list of resources dedicated to RNN
Bayesian video super-resolution
A unofficial implementation of paper method that 'Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution'
Caffe: a fast open framework for deep learning.
Project for paper "Learning Recursive Filters for Low-Level Vision via a Hybrid Neural Network", ECCV 2016
Configure Caffe in one hour for Windows users.
Codes for the CNN-based lane detection models
剑指Offer
Spatio-temporal video autoencoder with convolutional LSTMs
Convolution Neural Network in RNN (GRU、LSTM、etc)
Public facing notes page
CLSTM? Supporting convolutional LSTM structure and end-to-end network training, in order to better understand video data.
Deep convolution neural network project with TensorFlow
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.
DenseNet implementation in Keras
Caffe code for Densely Connected Convolutional Networks (DenseNets)
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
a novel face hallucination algorithm to synthesize a high-resolution face image from several low-resolution input face images. Face hallucination normally uses twomodels: a global parametricmodel which synthesizes the global face shapes from eigenfaces, and a local parametric model which enhances the local high frequency details.We follow a similar process to develop a robust face hallucination algorithm. First, we obtain eigenfaces from a number of low resolution face images segmented from a video sequence using a face tracking algorithm. Then we compute the difference between an interpolated low-resolution face and a mean face, and use this difference as the query to retrieve an approximate sparse eigenface representation. The eigenfaces are combined using the coefficients obtained from the sparse representation and added into the interpolated low-resolution face. In this way, the global shape of the interpolated low resolution face can be successfully enhanced. Second, we improve the example-based super-resolution method for local high frequency information enhancement. Our proposed algorithm uses the Approximate Nearest Neighbors (ANN) search method to find a number of nearest neighbors for a stack of queries, instead of finding the exact match for each low frequency patch. Median filtering is used to remove the noise from the nearest neighbors in order to enhance the signal. Our proposed algorithm uses a sparse representation and the ANN method to enhance both global face shape and local high frequency information while greatly improving the processing speed, as confirmed empirically.
FH by Neighbor Embedding Facial Components
Full Resolution Residual Networks for Semantic Image Segmentation
A toolbox of scene text detection and recognition
Generative Adversarial Network Demo for Fresh Machine Learning #2
image generation via GANs
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
Source code used in my MSc thesis "LSTM and convolutional neural networks for SNV-based phenotype prediction Long Short-Term Memory and convolutional neural networks for SNV-based phenotype prediction"
MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd
Super Resolution for images using deep learning.
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.