huachao-peng2020

huachao-peng2020's Stars

• Inkfish6/multi-source-few-shot-target-adaptation-paper--collection

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• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5k866

• QinYi-team/Code

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• js05212/BayesianDeepLearning-Survey

  Bayesian Deep Learning: A Survey

  49762

• zhouhaoyi/Informer2020

  The GitHub repository for the paper "Informer" accepted by AAAI 2021.

  Language:Python5.3k1.1k

• themrzmaster/bayesvit

  bayesformer based on a simple VIT

  Language:Python5

• acoursey3/transformer-bayesian

  Paper presentation for Vanderbilt University DS-5899-01 Spring 2023. Presenting the paper "Transformers Can Do Bayesian Inference."

  Language:Jupyter Notebook1

• toantm/keras-bda

  A Bayesian Data Augmentation Approach for Learning Deep Models in Keras. Here is the link to a pytorch version: https://github.com/toantm/pytorch-bda

  Language:Python258

• IntelLabs/bayesian-torch

  A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

  Language:Python50970

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.3k3.8k

• kidozh/prognostic_and_rul_prediction_of_bearing_data

  One model for RUL and fault prognostic prediction on XJTU bearing dataset

  Language:Python8224

• frabatx/TransferLearning_RUL

  Transfer Learning on RUL estimation

  Language:Jupyter Notebook11

• zhaoweixi/GraFormer

  The Pytorch implementation for "GraFormer: Graph Convolution Transformer for 3D Pose Estimation" (CVPR2022)

  Language:Python201

• mohamedr002/data-augmentation-review

  List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

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• fengdu78/deeplearning_ai_books

  deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

  Language:HTML17.9k5.9k

• datawhalechina/dive-into-cv-pytorch

  动手学CV-Pytorch版

  Language:Python837178

• phuijse/BLNNbook

  Bayesian Learning and Neural Networks (jupyter book sources)

  Language:Jupyter Notebook497

• lbasora/PyTorch-BayesianCNN

  Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

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• lbasora/bnnrul

  Tools to test BNN inference algorithms and techniques to predict RUL on aeronautical systems.

  Language:Jupyter Notebook71

• MariosKef/RULe

  End-to-End RUL estimation

  Language:Jupyter Notebook21

• matheuscnali/rulbearingpredictor

  Language:Python115

• matheuscnali/bearing_rul_predict

  Language:Jupyter Notebook4723

• MLNLP-World/DeepLearning-MuLi-Notes

  Notes about courses Dive into Deep Learning by Mu Li

  Language:Jupyter Notebook3.3k545

• kibitzing/BayesianRNN_pytorch

  pytorch implementation of "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks" LSTM(https://arxiv.org/abs/1512.05287)

  Language:Python19

• yaringal/BayesianRNN

  Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"

  Language:Lua37676

• kumar-shridhar/PyTorch-BayesianCNN

  Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

  Language:Python1.4k323

• piEsposito/blitz-bayesian-deep-learning

  A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

  Language:Python921106

• ScarletElegance/Bearing-fault-prediction-master

  BUPT机器学习2020春季学期期末考试大作业代码。

  Language:Jupyter Notebook4

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.4k3.3k

• susano0/Electric-Fault-Prediction

  In this project we are trying to predict tripping at grid stations by applying simple machine learning algorithms.

  Language:Jupyter Notebook7