Pinned Repositories
DeepClustering
Methods and Implements of Deep Clustering
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
NESM
pan-cancer, Network embedding
netAE
Network-enhanced autoencoder (netAE) is a semi-supervised dimensionality reduction method.
Neural_Topic_Models
Implementation of topic models based on neural network approaches.
NEXGB
A Network Embedding Framework for Anticancer Drug Com-bination Prediction
nips14-ssl
Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"
numpy-ml
Machine learning, in numpy
Our-code
None
PerVote
cancer driver gene
FengLi12's Repositories
FengLi12/Neural_Topic_Models
Implementation of topic models based on neural network approaches.
FengLi12/numpy-ml
Machine learning, in numpy
FengLi12/DeepClustering
Methods and Implements of Deep Clustering
FengLi12/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
FengLi12/NESM
pan-cancer, Network embedding
FengLi12/netAE
Network-enhanced autoencoder (netAE) is a semi-supervised dimensionality reduction method.
FengLi12/NEXGB
A Network Embedding Framework for Anticancer Drug Com-bination Prediction
FengLi12/nips14-ssl
Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"
FengLi12/Our-code
None
FengLi12/PerVote
cancer driver gene
FengLi12/pytorch-beginner
pytorch tutorial for beginners
FengLi12/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
FengLi12/RFNE
Gene Network, random walk
FengLi12/SCALE
Single-cell ATAC-seq analysis via Latent feature Extraction
FengLi12/scGNN
scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
FengLi12/scMSSL
Multi-scale attention semi-supervised learning with deep generative models to automatically identify cell types
FengLi12/scMVFI
FengLi12/scRSSL
scRSSL: residual semi-supervised learning with deep generative models to automatically identify cell types
FengLi12/scSASSL
scSASSL: Self-attention semi-supervised larning with deep generative models to automatically identify cell types
FengLi12/scVAEBGM
scATAC-seq
FengLi12/scvi-tools
Deep probabilistic analysis of single-cell omics data
FengLi12/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
FengLi12/Tensorflow-MultiGPU-VAE-GAN
A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.