yhchen1123's Stars
aristoteleo/dynamo-tutorials
Tutorials on using latest dynamo package
cistrome/MIRA
Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.
pachterlab/GFCP_2022
RNA velocity validation
rorymaizels/velvetVAE
Variational Estimation of Latent Velocity from Expression with Time-resolution
YanshiHu/yanshihu.github.io
Yanshi Hu's personal website
welch-lab/MultiVelo
Multi-omic velocity inference
aristoteleo/dynamo-release
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
QuackenbushLab/phoenix
PHOENIX: a tool to infer biologically informed NeuralODEs describing genome-wide regulatory dynamics
scverse/scvi-tools
Deep probabilistic analysis of single-cell and spatial omics data
GuangyuWangLab2021/cellDancer
Predict RNA velocity through deep learning
Spencerfar/LatentVelo
LiQian-XC/sctour
A deep learning architecture for robust inference and accurate prediction of cellular dynamics
Tchanders/InformationMeasures.jl
Entropy, mutual information and higher order measures from information theory, with various estimators and discretisation methods.
emreg00/toolbox
Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)
Chen-Cai-OSU/awesome-equivariant-network
Paper list for equivariant neural network
RosettaCommons/RoseTTAFold
This package contains deep learning models and related scripts for RoseTTAFold
graphdeeplearning/benchmarking-gnns
Repository for benchmarking graph neural networks
dhimmel/obonet
OBO-formatted ontologies → networkx (Python 3)
dhimmel/disease-ontology
User-friendly extensions to the Disease Ontology
sthalles/SimCLR
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
chaitjo/efficient-gnns
Code and resources on scalable and efficient Graph Neural Networks
lukecavabarrett/pna
Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
szagoruyko/pytorchviz
A small package to create visualizations of PyTorch execution graphs
japila-books/spark-sql-internals
The Internals of Spark SQL
xiaopengand/daxigua
大西瓜,合成大西瓜源码,破解版源码,支持模式选择,分数选择
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
heucoder/dimensionality_reduction_alo_codes
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现