floricaaa

3D_axis_Plotting_Basic_Live_Graph

In this Code you will able to plot the RMS values(x,y,z) of Wireless Vibration Sensor to plot it on 3D axis graph

Adaboost

Implementations of the classification algorithm "Adaboost" with various weak learners

AdaIN-style

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

attention-mechanisms

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

attention-transfer

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

AutoSF

Code for "Searching Scoring Functions for Knowledge Graph Embedding"

Contrastive-Clustering

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

projectRUL

to prediction the remain useful life of bearing based on 2012 PHM data

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.

floricaaa/Contrastive-Clustering

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

floricaaa/transformer-time-series-prediction

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

floricaaa/transformers

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

floricaaa/benchmark_VAE

Library for Variational Autoencoder benchmarking

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

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

floricaaa/ConvTransformer

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

floricaaa/convtransformer-1

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

floricaaa/crossnorm-selfnorm

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

floricaaa/DAGCN

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

floricaaa/Deep-Residual-Shrinkage-Networks

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

floricaaa/detr

End-to-End Object Detection with Transformers

floricaaa/FPT

Implementation for paper Feature Pyramid Transformer

floricaaa/gcn

Implementation of Graph Convolutional Networks in TensorFlow

floricaaa/GNN-algorithms

图神经网络相关算法详述及实现

floricaaa/graph_nets

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

floricaaa/GraphNeuralNetwork

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

floricaaa/GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

floricaaa/GraphSAGE_RL

Advancing GraphSAGE with A Data-driven Node Sampling

floricaaa/intro_dgm

An Introduction to Deep Generative Modeling: Examples

floricaaa/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

floricaaa/ml-based-anomaly-detection

Spectral Residual

floricaaa/nasa_bearing_abnormal_detection

floricaaa/nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

floricaaa/OmniAnomaly

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

floricaaa/PyTorch-Networks

Pytorch implementation of cnn network

floricaaa/tf_geometric

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

floricaaa/timeseries-generator

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

floricaaa/transferlearning

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

floricaaa/TransGAN

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

floricaaa/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