pulimeng

pulimeng's Stars

• hpcaitech/ColossalAI

  Making large AI models cheaper, faster and more accessible

  Language:Python39k3861.7k4.3k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.7k2543.6k3.7k

• horovod/horovod

  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

  Language:Python14.3k3342.2k2.2k

• NVIDIA/apex

  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

  Language:Python8.5k1001.2k1.4k

• MorvanZhou/PyTorch-Tutorial

  Build your neural network easy and fast, 莫烦Python中文教学

  Language:Jupyter Notebook8.2k214713.1k

• benedekrozemberczki/awesome-graph-classification

  A collection of important graph embedding, classification and representation learning papers with implementations.

  Language:Python4.8k21710741

• kymatio/kymatio

  Wavelet scattering transforms in Python with GPU acceleration

  Language:Python77322417138

• fritzsedlazeck/Sniffles

  Structural variation caller using third generation sequencing

  Language:Python5672749895

• chhylp123/hifiasm

  Hifiasm: a haplotype-resolved assembler for accurate Hifi reads

  Language:C++5633069189

• yiqunchen/GenePT

  Language:Jupyter Notebook22781534

• broadinstitute/ichorCNA

  Estimating tumor fraction in cell-free DNA from ultra-low-pass whole genome sequencing.

  Language:R1712113289

• pulimeng/DeepDrug3D

  A convolutional neural network for classifying binding pockets based on spatial and chemical information extracted from the pockets.

  Language:Python10231532

• pulimeng/eToxPred

  A simple tool to predict the general toxicity and calculate the synthesize accessibility (SA) score for small molecules.

  Language:Python4231017

• pulimeng/CancerOmicsNet

  A Graph Neural Network Model for prediction of the effectiveness of a drug on a given cancer cell lines

  Language:Python17314

• pulimeng/3D-deep-learning

  Language:Python5000

• pulimeng/Featured-Graph-Informatics

  Calculations of graph informatics (mainly entropy) for graphs with features to evaluate the results of graph reduction

  Language:Python3100

• chenlab-sj/Seq2Karyotype

  Seq2Karyotype (S2K) is an innovative algorithm for analyzing copy number alterations (CNAs) using single-sample whole-genome sequencing (WGS) data. It overcomes limitations of traditional methods by modeling CNA heterogeneity, estimating clonality, and karyotyping without the need for paired normal samples.

  Language:Python2101

• pulimeng/Biology-Network-Reduction

  Graph representation for system biology networks and the reduction of them for machine learning purposes

  Language:Python1201

• pulimeng/Seq2Karyotype

  Seq2Karyotype (S2K) is an innovative algorithm for analyzing copy number alterations (CNAs) using single-sample whole-genome sequencing (WGS) data. It overcomes limitations of traditional methods by modeling CNA heterogeneity, estimating clonality, and karyotyping without the need for paired normal samples.

  Language:Python1000

• pulimeng/Useful_GNN_models

  Some useful GNN models

  Language:Python1200