floricaaa

Contrastive-Clustering

Code for the paper "Contrastive Clustering" (AAAI 2021)

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

benchmark_VAE

Library for Variational Autoencoder benchmarking

Complete-Life-Cycle-of-a-Data-Science-Project

Complete-Life-Cycle-of-a-Data-Science-Project

ConvTransformer

A PyTorch implementation of ConvTransformer: https://arxiv.org/pdf/2011.10185v1.pdf

convtransformer-1

Code for the ACL2020 paper Character-Level Translation with Self-Attention

crossnorm-selfnorm

CrossNorm and SelfNorm for Generalization under Distribution Shifts (ICCV 2021)

DAGCN

This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.

Deep-Residual-Shrinkage-Networks

The deep residual shrinkage network is a variant of deep residual networks.

detr

End-to-End Object Detection with Transformers

FPT

Implementation for paper Feature Pyramid Transformer

gcn

Implementation of Graph Convolutional Networks in TensorFlow

GNN-algorithms

图神经网络相关算法详述及实现

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

GraphNeuralNetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

GraphSAGE_RL

Advancing GraphSAGE with A Data-driven Node Sampling

intro_dgm

An Introduction to Deep Generative Modeling: Examples

Machine-Learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

ml-based-anomaly-detection

Spectral Residual

nasa_bearing_abnormal_detection

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

OmniAnomaly

KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

PyTorch-Networks

Pytorch implementation of cnn network

tf_geometric

Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x

timeseries-generator

A library to generate synthetic time series data by easy-to-use factors and generator

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

TransGAN

[Preprint] "TransGAN: Two Transformers Can Make One Strong GAN", Yifan Jiang, Shiyu Chang, Zhangyang Wang

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow