shouhengtuo

data

Data Sets for Machine Learning Practice

SAEAPRG

A Surrogate-Assisted Evolutionary Feature Selection Algorithm with Parallel Random Grouping for High-Dimensional Classification

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

stg

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

MLA-GNN

mlg_cs224w_project

Machine Learning with Graphs (CS224W) project.

paper-reading

深度学习经典、新论文逐段精读

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

Survey-of-Transformer-Architecture-Search

meshmonk

Open mesh-to-mesh registration framework

Awesome-GNN-Notebook

SubTab

The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"

maxp_baseline_model

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

acof

Multimodal medical image fusion using adaptive co-occurrence filter-based decomposition optimization model

deepwalk

DeepWalk - Deep Learning for Graphs

GNNs-for-NLP

Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pytorch_geometric_temporal

A Temporal Extension Library for PyTorch Geometric

IoTDemos

Demos created by the IoT Engineering team that showcase IoT services in an end-to-end solution

NewFigures

dgl

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

GCNG

using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions

OCTID

deap

Distributed Evolutionary Algorithms in Python

EvolutionaryForest

An open source python library for automated feature engineering based on Genetic Programming

RANEDDI

Semantic-Segmentation-Loss-Functions

This Repository is implementation of majority of Semantic Segmentation Loss Functions

DeepLearning