Sun XX's repositories
CancelOut
CancelOut is a layer for deep neural networks, that can help identify a subset of relevant input features for streaming or static data.
Deep-Feature-Selection
Python (PyTorch) realization of Deep Feature Selection (Model, Algorithm)
E2E-FS
E2E-FS: An End-to-End Feature Selection Method for Neural Networks
featuretools
An open source python framework for automated feature engineering
incremental_learning
Initial Code for the paper "incremental learning through deep adaptation"
lassonet
Feature selection in neural networks
learngit
git learning
load-wechat
loading wechat with python
OpenFE
OpenFE: automated feature generation with expert-level performance
PGNN.pytorch
A pytorch implementation of the paper "Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling"
PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Rachecave
Config files for my GitHub profile.
saint
The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
smogn
Synthetic Minority Over-Sampling Technique for Regression
SubTab
The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
TabSurvey
Experiments on Tabular Data Models
tabular-dl-num-embeddings
The official implementation of the paper "On Embeddings for Numerical Features in Tabular Deep Learning"
tabular-dl-pretrain-objectives
Revisiting Pretrarining Objectives for Tabular Deep Learning
tabular-dl-revisiting-models
The official implementation of the paper "Revisiting Deep Learning Models for Tabular Data" (NeurIPS 2021)
tabular-dl-tabr
The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
TensorFlowFoam
Integrating the TensorFlow 1.15 C-API into OpenFOAM 5.0 for data-driven CFD algorithm development