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Content for my Astronomy 599 / Applied Math 500 Course: Intro to scientific computing in Python
3D Morphable Model software (https://www.cs.cmu.edu/~efros/courses/AP06/Papers/Blanz-siggraph-99.pdf)
Code for the paper "Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks" and NVIDIA DLI workshop on GAN for Medical Imaging
A repository of my Coursera latex code and notes
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Clarifai API Java Client
Clarifai API Node.js Client
Clarifai API Python Client
This software (CMVS) takes the output of a structure-from-motion (SfM) software as input, then decomposes the input images into a set of image clusters of managable size. An MVS software can be used to process each cluster independently and in parallel, where the union of reconstructions from all the clusters should not miss any details that can be otherwise obtained from the whole image set. CMVS should be used in conjunction with an SfM software Bundler and an MVS software PMVS2 (PMVS version 2).
Convolutional Neural Networks for Matlab. Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The GPU version uses kernels from Alex Krizhevsky's library 'cuda-convnet2'.
A GPU implementation of Convolutional Neural Nets in C++
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
Source code for students in Parallel Programming
Implementation of a deep recursive net over binary parse trees (code for NIPS2014 paper)
Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders
This is the code for NIPS15 paper "Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis"
The goal is to calculate dense optical flow for a video
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
Clarifai API documentation for developers
Deeply-supervised Nets
Dense Visual Odometry and SLAM
A lightweight 3D Morphable Face Model fitting library in modern C++11/14
Google Research
Kernel structure discovery research code - likely to be unstable
High-resolution representation learning (HRNets) for Semantic Segmentation
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.