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Name: mjchen
Type: User
Name: mjchen
Type: User
a cascaded framework for 3D mesh segmentation
Accompanying source code for my 2003 paper 3D Shape Matching with 3D Shape Contexts
Caffe: a fast open framework for deep learning.
Caffe implementation of the paper "A Neural Algorithm of Artistic Style" by Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge.
Convolutional Neural Network and Multi Layer Perceptron in Pytorch
code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis"
A MATLAB implementation of the Continuous Procrustes Distance
Combined Spectral Descriptors and LMNN for non-rigid 3D shape retrieval
Visual Attribute Transfer through Deep Image Analogy in PyTorch!
I implement RBM, DBN, Multi-modal DBN with Python and the majority of matrix operations are executed on GPU. In this project I employ Cudamat and Numpy python libs.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Automatically exported from code.google.com/p/feature-surface
Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记
This is an implementation of the work presented by Kokkinos et. al (Intrinsic Shape Context Descriptors for Deformable Shapes)
Learning Deep Learning
Contains all my Matlab toolboxes.
The Mesh Viewer is an easy to use lightweight application for displaying three dimensional models (triangular meshes) with large poly counts. The Mesh Viewer is developed in OpenGL (with GLUT & GLUI) and reads models specified in Hugues Hoppe's M file format. The triangle meshes can be rendered as solid, wireframe or point clouds and the loaded models can be translated, rotated and scaled using mouse controls. The model can be lighted using one or two light sources and the model can be viewed in orthogonal or perspective projection. Efficient performance of the Mesh Viewer was validated when it took a few milliseconds to load and render the Stanford bunny.
Mex files for METIS
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.