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Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
A curated list of resources on implicit neural representations.
A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
An adversarial example library for constructing attacks, building defenses, and benchmarking both
DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations
variational principle based deep learning for PDEs
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
A PyTorch implementation of DenseNet.
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Code for the numerical examples presented in "HAZniCS - Software Components for Multiphysics Problems" by A. Budisa, X. Hu, M. Kuchta, K.-A. Mardal and L. T. Zikatanov (2022).
Repository for "Deep Isometric Learning for Visual Recognition"
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
An elementary MD simulation program written in python
Homepage
Continuous-time gradient flow for generative modeling and variational inference
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
PennyLane is a cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations
Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
Course project for ID5130 Parallel Scientific Computing. Tensor Decomposition
All Algorithms implemented in Python
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)
PyTorch deep learning projects made easy.
PyTorch Tutorial for Deep Learning Researchers
Hybrid Quantum-Classical Machine Learning in TensorFlow
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.