LaTeX Thesis Template for the University of Chinese Academy of Sciences

xLSTM as Generic Vision Backbone

Replacing Mamba with xLSTM! It works better. We show that xLSTM-Unet can be an effective semantic segmentation backbone.

Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022

Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".

Multimodal Isotropic Neural Architecture with Patch Embedding to both time series and image data for classification purposes.

Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory wh…

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification

A PyTorch-based Speech Toolkit

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Code release for "Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models" https://arxiv.org/abs/2402.03659

[pytorch] DANet: Dual Attention Network for Scene Segmentation

A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).

All Algorithms implemented in Python

About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq

Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))

this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Fault Diagnosis".

A predictive model of the turbulent burning velocity for planar and Bunsen flames over a wide range of conditions

Research repository for the IS-WiN laboratory at Clemson University. Conducted research includes; inference, classification, and GPU-[CUDA] CNN accelerations.

Feature engineering package with sklearn like functionality

PyQt5视频课程源代码

Squeeze-and-Excitation Networks

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.