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adversarial_autoencoder

A wizard's guide to Adversarial Autoencoders

ae_gan

algorithm

「面试算法练级攻略」 - 「LeetCode题解」 - 「剑指offer题解」

autoencoder-rmd

autoencoder reconstruction sparse low rank

bitseq

BitSeq code

bowtie

An ultrafast memory-efficient short read aligner

chen_liang

dcc

This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper

dcn

This is outdated -- New version: https://github.com/boyangumn/DCN-New

dcn-new

Updated version of DCN

dec

dec-keras

Keras implementation for Deep Embedding Clustering (DEC)

deepprune

Deepprune: Learning efficient and interpretable convolutional networks through weight pruning for predicting DNA-protein binding

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gcn-new

gem

graph_clustering

install_r_source

Shell script for install different R-(3.X.X) versions from source.

pkuautosubmit

PKU一键出入校备案小工具

scsdae

Sparsity-penalized stacked denoising autoencoders for imputing single-cell RNA-seq data

scvi-reproducibility

Reproducing the experiments of the paper "Deep generative modeling for single-cell transcriptomics"

single-cell-pseudotime

An overview of algorithms for estimating pseudotime in single-cell RNA-seq data

spectralnet

Deep network that performs spectral clustering

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

try

vade

Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

vade-pytorch

This repository tries to provide unsupervised deep learning models with Pytorch