Pinned Repositories
alphafold
Open source code for AlphaFold.
BayesianLSTM_torch
This repository implements a custom Bayes Backprob LSTM cell with Pytorch(v1.3.1).
BIG-bench
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
bilibilidata
car_project_model
智能小车
chemprop
Message Passing Neural Networks for Molecule Property Prediction
deep-ensembles-uncertainty
My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
Deep-Semi-Supervised-GPS-Transport-Mode
MTG-Net
Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations part of Advances in Neural Information Processing Systems (NeurIPS) 2022.
userBehaviorAnalysis_Flink
基于flink流处理的用户行为/网站分析
ShawnKS's Repositories
ShawnKS/MTG-Net
Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations part of Advances in Neural Information Processing Systems (NeurIPS) 2022.
ShawnKS/userBehaviorAnalysis_Flink
基于flink流处理的用户行为/网站分析
ShawnKS/alphafold
Open source code for AlphaFold.
ShawnKS/BayesianLSTM_torch
This repository implements a custom Bayes Backprob LSTM cell with Pytorch(v1.3.1).
ShawnKS/BIG-bench
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
ShawnKS/bilibilidata
ShawnKS/car_project_model
智能小车
ShawnKS/chemprop
Message Passing Neural Networks for Molecule Property Prediction
ShawnKS/deep-ensembles-uncertainty
My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
ShawnKS/Deep-Semi-Supervised-GPS-Transport-Mode
ShawnKS/FOST
FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including temporal, spatial-temporal and hierarchical forecasting. Current general forecasting tools (Gluon-TS by amazon, Prophet by facebook etc.) can not process and model structural graph data, especially in spatial domains, also those tools suffer from tradeoff between usability and accuracy. To address these challenges, we design and develop FOST and aims to empower engineers and data scientists to build high-accuracy and easy-usability forecasting tools.
ShawnKS/gcn
Implementation of Graph Convolutional Networks in TensorFlow
ShawnKS/jiant
jiant is an nlp toolkit
ShawnKS/Master-FirstReport-Latex
硕士开题报告
ShawnKS/notes-LSJU-machine-learning
机器学习笔记
ShawnKS/rdkit
The official sources for the RDKit library
ShawnKS/shap
A game theoretic approach to explain the output of any machine learning model.
ShawnKS/ShawnKS.github.io
ShawnKS/UniTS