Coder Social home page Coder Social logo

Hi there 👋

fffaby's Projects

align_uniform icon align_uniform

Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.

bio_corex icon bio_corex

A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations

bioc2017singlecell icon bioc2017singlecell

Bioconductor2017 workshop - Analysis of single-cell RNA-seq data: Normalization, dimensionality reduction, clustering, and lineage inference

cca_zoo icon cca_zoo

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.

clustergan icon clustergan

Latent space clustering in Generative Adversarial Network (GAN)

clustergan-1 icon clustergan-1

Pytorch Implementation of ClusterGAN (arXiv:1809.03627)

corex icon corex

CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.

corex_topic icon corex_topic

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

coursera-ml-py icon coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

courseraml icon courseraml

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!

cs231n-2016-winter icon cs231n-2016-winter

All lecture notes and assignments for CS231n: Convolutional Neural Networks for Visual Recognition class by Stanford

dec-keras icon dec-keras

Keras implementation for Deep Embedding Clustering (DEC)

deepcca icon deepcca

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.

deepcca-1 icon deepcca-1

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.

desc icon desc

Deep Embedding for Single-cell Clustering

dive-into-dl-pytorch icon dive-into-dl-pytorch

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。

fashion-mnist icon fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

hgcae icon hgcae

HGCAE Pytorch implementation. CVPR2021 accepted.

hyperbolic_hierarchical_clustering icon hyperbolic_hierarchical_clustering

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.

hyperbolic_nn icon hyperbolic_nn

Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.