JonnyTran

JonnyTran's Stars

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.5k3.7k

• manlius/muxViz

  Analysis and Visualization of Interconnected Multilayer Networks

  Language:R38793

• OpenNMT/OpenNMT-py

  Open Source Neural Machine Translation and (Large) Language Models in PyTorch

  Language:Python6.8k2.2k

• jonathanking/protein-transformer

  Predicting protein structure through sequence modeling

  Language:Jupyter Notebook10817

• harvardnlp/annotated-transformer

  An annotated implementation of the Transformer paper.

  Language:Jupyter Notebook5.8k1.2k

• RandolphVI/Hierarchical-Multi-Label-Text-Classification

  The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

  Language:Python32273

• Tencent/NeuralNLP-NeuralClassifier

  An Open-source Neural Hierarchical Multi-label Text Classification Toolkit

  Language:Python1.9k406

• Jhy1993/HAN

  Heterogeneous Graph Neural Network

  Language:Python1.1k221

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16.1k3k

• dmlc/dgl

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

  Language:Python13.6k3k

• benedekrozemberczki/awesome-graph-classification

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

  Language:Python4.8k742

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.5k3.4k

• stellargraph/stellargraph

  StellarGraph - Machine Learning on Graphs

  Language:Python3k431

• chesterli29/jupyterlab_tensorboard

  Tensorboard extension for jupyterlab.

  Language:TypeScript31536

• nucleic/enaml

  Declarative User Interfaces for Python

  Language:Python1.5k132

• williamleif/GraphSAGE

  Representation learning on large graphs using stochastic graph convolutions.

  Language:Python3.4k844

• PetarV-/GAT

  Graph Attention Networks (https://arxiv.org/abs/1710.10903)

  Language:Python3.2k650

• danielegrattarola/keras-gat

  Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

  Language:Python475123

• jina-ai/clip-as-service

  🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

  Language:Python12.5k2.1k

• danielegrattarola/spektral

  Graph Neural Networks with Keras and Tensorflow 2.

  Language:Python2.4k334

• academicpages/academicpages.github.io

  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

  Language:JavaScript12.6k44.2k

• immunogenomics/harmony

  Fast, sensitive and accurate integration of single-cell data with Harmony

  Language:R53199

• quon-titative-biology/scAlign

  A deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batches

  Language:R3412

• NCBI-Codeathons/Identifying-bulk-RNA-seq-derived-biomarkers-of-cancer-risk-within-single-cell-populations

  Language:Jupyter Notebook72

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.8k780

• lmcinnes/umap

  Uniform Manifold Approximation and Projection

  Language:Python7.5k809

• NCBI-Codeathons/SLEuth

  Language:Jupyter Notebook21

• metallb/metallb

  A network load-balancer implementation for Kubernetes using standard routing protocols

  Language:Go7.1k915

• quinlan-lab/vcf2db

  create a gemini-compatible database from a VCF

  Language:Python5613

• arq5x/gemini

  a lightweight db framework for exploring genetic variation.

  Language:Python318120