tsingzao Goto Github PK
Name: Tsingzao
Type: User
Company: China Meteorological Administration
Bio: China Meteorological Administration
Location: Beijing, China
Name: Tsingzao
Type: User
Company: China Meteorological Administration
Bio: China Meteorological Administration
Location: Beijing, China
Action recognition using soft attention based deep recurrent neural networks
Tools to participate in the ActivityNet Challenge 2016
Chainer implementation of adversarial autoencoder (AAE)
A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
Implementation of Adversarial Autoencoder with Theano
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
Codes for paper of "Attention-based LSTM with Semantic Consistency for Videos Captioning "
automatic video description generation with GPU training
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Collect super-resolution related papers, data, repositories
微信小程序开发资源汇总 :100:
Implementation of Axial attention - attending to multi-dimensional data efficiently
Pytorch implementation of Hierarchical Boundary-Aware Neural Encoder for Video Captioning. The C3D part is implemented but not work well.
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, etc. Also support StyleGAN2, DFDNet.
C3D is a modified version of BVLC caffe to support 3D ConvNets.
C3D for Keras + TensorFlow
train C3D with keras for action recognition
Activity Recognition Algorithms for the Charades Dataset
Source code for ClimateLearn
This is code of book "Learn Deep Learning with PyTorch"
Spatio-temporal video autoencoder with convolutional LSTMs
Multi-layer convolutional LSTM with Pytorch
PyTorch Implementation of Consensus-based Sequence Training for Video Captioning
pytorch implementation of Domain-Adversarial Training of Neural Networks
A python library for easy manipulation and forecasting of time series.
MSc Research project (6 months). Data Assimilation using Deep Learning (AEs). Imperial College Machine Learning MSc 2018-19
Datasets for deep learning with satellite & aerial imagery
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.