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Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.
A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations
Bioconductor2017 workshop - Analysis of single-cell RNA-seq data: Normalization, dimensionality reduction, clustering, and lineage inference
Canonical Correlation Analysis Model Zoo: Standard: CCA, GCCA, MCCA, TCCA, KCCA, TKCCA, sparse CCA , ridge CCA and elastic CCA, PMD, PLS. Deep: DCCA, DMCCA, DGCCA, DTCCA. DVCCA, DCCAE, SplitAE. Probabilistic: VBCCCA. With simulated data generation and toy datasets.
Latent space clustering in Generative Adversarial Network (GAN)
Pytorch Implementation of ClusterGAN (arXiv:1809.03627)
Clustering cells from single cell RNA seq assays
Code for the paper "Contrastive Clustering" (AAAI 2021)
CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.
Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
All lecture notes and assignments for CS231n: Convolutional Neural Networks for Visual Recognition class by Stanford
CVPR 2021 论文和开源项目合集
Keras implementation for Deep Embedding Clustering (DEC)
An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.
An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.
Methods and Implements of Deep Clustering
chainer implementation of Deep Embedded Clustering
Deep Learning Book Chinese Translation
Deep Embedding for Single-cell Clustering
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
A MNIST-like fashion product database. Benchmark :point_down:
Homepage about FangfeiLin.
HGCAE Pytorch implementation. CVPR2021 accepted.
Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed. KDD 2019.
Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112
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.