kejiejiang Goto Github PK
Name: Kejie Jiang
Type: User
Bio: 勤学如春起之苗,不见其增,日有所长。
Name: Kejie Jiang
Type: User
Bio: 勤学如春起之苗,不见其增,日有所长。
Deep Metric Learning
Simple Online Realtime Tracking with a Deep Association Metric
Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper
Deep Learning of Vortex Induced Vibrations
Deep learning library for solving differential equations
DeepMod is a deep learning based model discovery algorithm which seeks the partial differential equation underlying a spatio-temporal data set. DeepMoD employs sparse regression on a library of basis functions and their corresponding spatial derivatives. This code is based on the paper: [arXiv:1904.09406](http://arxiv.org/abs/1904.09406)
Replicating "Understanding disentangling in β-VAE"
Experiments for understanding disentanglement in VAE latent representations
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
Deep Plug-and-Play Image Restoration (PyTorch)
PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network
Fully Convolutional DenseNets for semantic segmentation.
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
GAAL-based Outlier Detection
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Generalized k-nearest neighbor entropy estimation
A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".
Generative moment matching networks
Faster estimation of Bayesian models in ecology using Hamiltonian Monte Carlo
Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"
Pytorch implementation of GRU-ODE-Bayes
Package for efficient calculation of multivariate joint entropy measures
Demonstration code for missing data imputation using Variational Autoencoders (VAE)
Pytorch Implementation of "Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect"
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.