enjamamulhoq Goto Github PK
Type: User
Company: University at Buffalo
Bio: Pursuing PhD in Computer Science & Engineering
Location: Buffalo, New York
Type: User
Company: University at Buffalo
Bio: Pursuing PhD in Computer Science & Engineering
Location: Buffalo, New York
Physics-informed neural network for solving fluid dynamics problems
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.
Latex code for making neural networks diagrams
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
Autoencoder for Point Clouds
Keras implementation for Pointnet
Personal implementation of PointNet in TF 2.0
Code for ``A Point Set Generation Network for 3D Object Reconstruction from a Single Image''
CIKM contest entry 'Convolutional LSTM neural network to extrapolate radar images, and predict rainfall'
Notebooks for probabilistic programming
PyTorch Implementation of ProDiff (ACM-MM'22) with a Extremely-Fast diffusion speech synthesis pipeline
PU-Net: Point Cloud Upsampling Network, CVPR, 2018 (https://arxiv.org/abs/1801.06761)
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.
Normalizing flows in PyTorch. Current intended use is education not production.
PyTorch Tutorials from my YouTube channel
A place to share problems solved with SciANN
A game theoretic approach to explain the output of any machine learning model.
Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis
Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks
2D spherical and Cartesian triangulation toolkit using tripack, stripack, srfpack and ssrfpack
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural 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.