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apollo

Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization

awesome-ai-gpts

Awesome AI GPTs, OpenAI GPTs, GPT-4, ChatGPT, GPTs, Prompts, plugins, Prompts leaking

book_recommendation

SJTU IS305 自动识别图片并推荐相应图书

clusterrouting

Pytorch implementation for the paper of "Capsule networks with non-iterative cluster routing".

cond-wgan-gp

Pytorch implementation of a Conditional WGAN with Gradient Penalty

cycbd

Blind deconvolution based on cyclostationarity maximization

deep-learning-loss-function-collection-for-imbalanced-data

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

dl-based-intelligent-diagnosis-benchmark

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

dots-and-boxes-gui

点格棋

external-attention-pytorch

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

few-shot-transfer-learning

Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine

llm-action

本项目旨在分享大模型相关技术原理以及实战经验。

matrix-capsules-em-pytorch

A PyTorch Implementation of Matrix Capsules with EM Routing

onhook

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

res-capsnet

Official implementation of the paper "Training Deep Capsule Networks with ResidualConnections".

rotating-machine-fault-data-set

Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)

rotating-machinery-fault-diagnosis-dataset

It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southeast University(SEU), University of Cincinnati(UC), University of Connecticut(UCONN), University of Paderborn,(UPB), Curtin University(CURTIN), and University of Ottawa(uOttawa).

rsg

A Pytorch implementation of CVPR 2021 paper "RSG: A Simple but Effective Module for Learning Imbalanced Datasets"

scikit-elm

Extreme Learning Machine (ELM) with Scikit-Learn compatibility

sr-capsnet

Code for Self-Routing Capsule Networks

t-sne-cnn

对卷积神经网络提取的每一层特征用t-SNE进行降维可视化

transferlearning

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

triplet-attention

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

udtl

Source codes for the paper "Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study"

vlm_survey

Vision-Language Models for Vision Tasks: A Survey

waveletkernelnet

This is the code for WaveletKernelNet.