yhchen1123

yhchen1123's Stars

• aristoteleo/dynamo-tutorials

  Tutorials on using latest dynamo package

  Language:Jupyter Notebook2310

• cistrome/MIRA

  Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.

  Language:HTML568

• pachterlab/GFCP_2022

  RNA velocity validation

  Language:Jupyter Notebook231

• rorymaizels/velvetVAE

  Variational Estimation of Latent Velocity from Expression with Time-resolution

  Language:Python101

• YanshiHu/yanshihu.github.io

  Yanshi Hu's personal website

  Language:HTML4

• welch-lab/MultiVelo

  Multi-omic velocity inference

  Language:Python10512

• aristoteleo/dynamo-release

  Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses

  Language:Python41358

• QuackenbushLab/phoenix

  PHOENIX: a tool to infer biologically informed NeuralODEs describing genome-wide regulatory dynamics

  Language:Python122

• scverse/scvi-tools

  Deep probabilistic analysis of single-cell and spatial omics data

  Language:Python1.2k344

• GuangyuWangLab2021/cellDancer

  Predict RNA velocity through deep learning

  Language:Jupyter Notebook6011

• Spencerfar/LatentVelo

  Language:Jupyter Notebook224

• LiQian-XC/sctour

  A deep learning architecture for robust inference and accurate prediction of cellular dynamics

  Language:Python514

• Tchanders/InformationMeasures.jl

  Entropy, mutual information and higher order measures from information theory, with various estimators and discretisation methods.

  Language:Julia6614

• emreg00/toolbox

  Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)

  Language:Python10859

• Chen-Cai-OSU/awesome-equivariant-network

  Paper list for equivariant neural network

  978103

• RosettaCommons/RoseTTAFold

  This package contains deep learning models and related scripts for RoseTTAFold

  Language:Python2k435

• graphdeeplearning/benchmarking-gnns

  Repository for benchmarking graph neural networks

  Language:Jupyter Notebook2.5k448

• dhimmel/obonet

  OBO-formatted ontologies → networkx (Python 3)

  Language:Python13628

• dhimmel/disease-ontology

  User-friendly extensions to the Disease Ontology

  Language:Web Ontology Language208

• sthalles/SimCLR

  PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

  Language:Jupyter Notebook2.2k458

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python20.9k3.6k

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.3k3k

• chaitjo/efficient-gnns

  Code and resources on scalable and efficient Graph Neural Networks

  Language:Python52563

• lukecavabarrett/pna

  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

  Language:Python33655

• szagoruyko/pytorchviz

  A small package to create visualizations of PyTorch execution graphs

  Language:Jupyter Notebook3.2k279

• japila-books/spark-sql-internals

  The Internals of Spark SQL

  446129

• 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

  Language:JavaScript237173

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  15.8k3k

• ml-tooling/best-of-ml-python

  🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

  16.2k2.3k

• 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

  Language:Python2.3k620