FengLi12's Stars
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
TianxiangZhao/GraphSmote
Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021
phanein/deepwalk
DeepWalk - Deep Learning for Graphs
tanaylab/metacell
Metacell - Single-cell mRNA Analysis
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
ZJUFanLab/scDeepSort_performance_comparison
The source code and results for different methods on annotating external testing datsets of human and mouse.
zxin1023/pytorch_cluster
PyTorch Extension Library of Optimized Graph Cluster Algorithms
OmicsML/dance
DANCE: a deep learning library and benchmark platform for single-cell analysis
shap/shap
A game theoretic approach to explain the output of any machine learning model.
Philyzh8/scTAG
"ZINB-based Graph Embedding Autoencoder for Single-cell RNA-seq Interpretations" in AAAI 2022
cole-trapnell-lab/DDRTree
An R implementation of the DDRTree algorithm for learning principal graphs
lanagarmire/deepimpute
An accurate and efficient deep learning method for single-cell RNA-seq data imputation
hyundoo/PRIME
dreamquark-ai/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
globality-corp/sklearn-hierarchical-classification
EdGENetworks/attention-networks-for-classification
Hierarchical Attention Networks for Document Classification in PyTorch
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
eleozzr/desc
Deep Embedding for Single-cell Clustering
scverse/scvi-tools
Deep probabilistic analysis of single-cell and spatial omics data
lcmmichielsen/scHPL
xy-chen16/EpiAnno
Single-cell epigenomic data annotation via supervised non-linear embedding
ga642381/ML2021-Spring
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2021 Spring
theislab/single-cell-tutorial
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
NBISweden/excelerate-scRNAseq
Single RNA-seq data analysis with R (Finland, May, 2019)
Diyago/Tabular-data-generation
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
aertslab/pySCENIC
pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
asaini/Apriori
Python Implementation of Apriori Algorithm for finding Frequent sets and Association Rules
GreenleafLab/ArchR_2020
Publication Page for ArchR Manuscript 2020
seandavi/awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.