sjiang87

sjiang87's Stars

• zavalab/ML

  Language:Jupyter Notebook7727

• Monge88/SGVAE

  Language:Python92

• aspuru-guzik-group/chemical_vae

  Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow

  Language:Python488183

• KirillShmilovich/ActiveLearningCG

  Some codes for "Discovery of Self-Assembling pi-Conjugated Peptides by Active Learning-Directed Coarse-Grained Molecular Simulation"

  Language:Jupyter Notebook62

• yuanqidu/GraphGT

  Language:Python597

• graph4ai/graph4nlp

  Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

  Language:Python1.7k201

• seokhokang/graphvae_approx

  Efficient Learning of Non-Autoregressive Graph Variational Autoencoders for Molecular Graph Generation

  Language:Python3810

• davide-belli/generative-graph-transformer

  PyTorch implementation of "Image-Conditioned Graph Generation for Road Network Extraction"

  Language:Python7215

• snap-stanford/GraphRNN

  Language:Python414117

• JiaxuanYou/graph-generation

  GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

  Language:Python695141

• razvanmarinescu/EB1A

  EB1A Full Application - I-140 and I-485

  Language:TeX22882

• jingraham/neurips19-graph-protein-design

  Generative Models for Graph-Based Protein Design

  Language:Python25857

• drorlab/gvp-pytorch

  Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure

  Language:Python24548

• jules-leguy/EvoMol

  Evolutionary algorithm for molecular properties optimization

  Language:Python5516

• wengong-jin/hgraph2graph

  Hierarchical Generation of Molecular Graphs using Structural Motifs

  Language:Python376109

• yunshengtian/DGEMO

  [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations

  Language:Python10026

• thuml/Autoformer

  About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

  Language:Jupyter Notebook1.9k419

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python6.8k1.1k

• RILAB/statements

  Successful Job Applications and Grants

  690127

• deephyper/nas-gcn

  Neural Architecture Search for Graph-Convolution Neural Networks using DeepHyper.

  Language:Jupyter Notebook2

• keisuke198619/supervisedDMD

  Supervised Dynamic Mode Decomposition (Supervised DMD)

  Language:MATLAB52