Wolverinerine

Wolverinerine's Stars

• calico/basenji

  Sequential regulatory activity predictions with deep convolutional neural networks.

  Language:Python391120

• ma-compbio/scGHOST

  single-cell Hi-C, scHi-C, Hi-C, 3D genome, nuclear organization, genome subcompartment

  Language:Jupyter Notebook182

• rsinghlab/GrapHiC

  A graph neural network based approach to impute missing Hi-C reads.

  Language:Python6

• jianhuupenn/SpaGCN

  SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

  Language:Python18958

• jianhuupenn/TESLA

  Deciphering tumor ecosystems at super-resolution from spatial transcriptomics with TESLA

  Language:Jupyter Notebook4110

• TongjiZhanglab/ImSpiRE

  ImSpiRE is an Image features-aided Spatial Resolution Enhancement method for in situ capturing (ISC) datasets. It is written in Python 3.8 and requires CellProfiler 4.2.1. It is available as a command line tool, a Python library and a docker image to meet the needs of different users.

  Language:Python3

• JiangWenJie-stack/DNABendNet

  Language:Python4

• QSong-github/SiGra

  Single-cell spatial elucidation through image-augmented graph transformer

  Language:Jupyter Notebook296

• wangxiao5791509/MultiModal_BigModels_Survey

  [MIR-2023-Survey] A continuously updated paper list for multi-modal pre-trained big models

  27716

• OSU-BMBL/scDEAL

  Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data

  Language:Jupyter Notebook4511

• yangn0/Xiudong-Script

  秀动自动抢票 脚本

  Language:Python32538

• WLYLab/DeepBIO

  93

• declare-lab/MISA

  MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis

  Language:Python18629

• codecaution/Awesome-Mixture-of-Experts-Papers

  A curated reading list of research in Mixture-of-Experts(MoE).

  52040

• SimiaoZuo/MoEBERT

  This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).

  Language:Python9611

• biomed-AI/MolRep

  MolRep: A Deep Representation Learning Library for Molecular Property Prediction

  Language:Python12327

• awslabs/dgl-ke

  High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

  Language:Python1.3k194

• gordicaleksa/pytorch-GAT

  My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

  Language:Jupyter Notebook2.4k322

• wangyuGithub01/Machine_Learning_Resources

  :fish::fish::fish: 机器学习面试复习资源

  1.1k174

• PaddlePaddle/PaddleNLP

  👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

  Language:Python12k2.9k