zhixinshu Goto Github PK
Name: zhixinshu
Type: User
Company: stony brook university
Location: Stony Brook, NY
Name: zhixinshu
Type: User
Company: stony brook university
Location: Stony Brook, NY
Reproduce the results of the paper "A Smoothed Dual Approach for Variational Wasserstein Problems"
Matlab code to reproduce the results of the paper "Gromov-Wasserstein Averaging of Kernel and Distance Matrices".
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
Matlab implementation of algorithm for fitting 3D Morphable Model to images using edge features
MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)
The classical papers and codes about generative adversarial nets
Adversarially Learned Inference
Torch implementing of attribute2image project
Torch implementations of various types of autoencoders
Efficiently computes derivatives of numpy code.
code for "Isolating Sources of Disentanglement in Variational Autoencoders".
68/21 Landmark points for Basel Face Model (3DMM)
[NIPS 2017] Toward Multimodal Image-to-Image Translation
Caffe2 is a cross-platform framework made with expression, speed, and modularity in mind.
A PyTorch implementation of CapsNet based on Geoffrey Hinton's paper "Dynamic Routing Between Capsules"
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
Generate cat images with neural networks
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Project repo for Learning Category-Specific Mesh Reconstruction from Image Collections
CNNGeometric PyTorch implementation
code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis"
Unsupervised Feature Learning by Image Inpainting
Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.
Computer Vision and Image Processing functions and scripts
Unpaired image-to-image translation for painting->photo, horse->zebra, style transfer and more (from UC Berkeley)
A collection of Torch dataset loaders
The Deep Convolutional Inverse Graphics Network
Deep Convolutional Generative Adversarial Networks
Generating faces with deconvolution networks
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.