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Name: sainatarajan
Type: User
Name: sainatarajan
Type: User
This is a repository containing code to Paper "Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation" published at MDPI Applied sciences journal - https://www.mdpi.com/2076-3417/9/3/404 .
A generalized autoencoder for volumetric shape generation
A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).
Modeling 3D Shapes by Reinforcement Learning (ECCV2020)
Code for 3D Reconstruction of Novel Object Shapes from Single Images paper
3DUNet implemented with pytorch
3D-ReConstnet: A Single-View 3D-Object Point Cloud Reconstruction Network for more details,please see this link:and please cite our paper: https://ieeexplore.ieee.org/document/9086481?source=authoralert B. Li, Y. Zhang, B. Zhao and H. Shao, "3D-ReConstnet: A Single-View 3D-Object Point Cloud Reconstruction Network," in IEEE Access, vol. 8, pp. 83782-83790, 2020, doi: 10.1109/ACCESS.2020.2992554.
Course Project for the course CS 736
Implementing active shape models for a machine learning class
Face detection using active shape models 🐍
Adaptive Affinity Fields for Semantic Segmentation
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Cut and paste your surroundings using AR
Active Shape Model for Facial Keypoint Detection
Active Shape Model C++ Library
A collection of 3D reconstruction papers in the deep learning era.
Awesome GAN for Medical Imaging
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Implementation of the Bilateral Segmentation Network (BiSeNet) in pytorch
Source code repository for the projects from CUDA for Engineers
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
Dynamic Active Shape Models
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
A simple and easy to use jupyter notebook of the popular Deeplab V3 plus algorithm, originally implemented by the user bonlime
Interfacing AI with numerical simulation.
"DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)
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.