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The repository is for safe reinforcement learning baselines.

Jupyter Notebook 557 84 Updated Jan 3, 2025

东华大学 LaTeX 论文模板 | Donghua University LaTeX Thesis Template

TeX 5 1 Updated Apr 17, 2024

JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

Python 888 119 Updated Oct 15, 2024

This repository contains the code and data accompanying the paper entitled "A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case St…

Python 6 Updated Jul 21, 2022

GitHub's code repository is all you need

337 41 Updated Mar 21, 2023

Zeolite GAN

Python 21 3 Updated Jun 17, 2020

[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

704 56 Updated Aug 9, 2024

Curated tutorials and resources for Large Language Models, AI Painting, and more.

4,009 269 Updated Mar 31, 2024

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Python 58,139 5,924 Updated Aug 24, 2024

Machine learning, in numpy

Python 15,877 3,777 Updated Oct 29, 2023

机器学习算法的公式推导以及numpy实现

Jupyter Notebook 2,051 483 Updated May 2, 2023

The official GitHub page for the survey paper "A Survey of Large Language Models".

Python 10,848 846 Updated Aug 20, 2024

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

1,752 304 Updated Jan 20, 2025

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

HTML 118,344 15,985 Updated Jan 14, 2025

Must-read Papers on Physics-Informed Neural Networks.

Python 1,012 165 Updated Dec 8, 2023

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

JavaScript 55,236 15,920 Updated Jun 26, 2024

Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis(pytorch) 深度残差收缩网络应用于故障诊断

Python 211 30 Updated Mar 10, 2023

A playbook for systematically maximizing the performance of deep learning models.

27,867 2,297 Updated Jun 18, 2024

few-shot learning experiments

Python 1 Updated Jul 19, 2021

A collection of AWESOME things about domian adaptation

2 Updated Aug 9, 2021

Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis"

Python 2 2 Updated Jan 13, 2022

Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide First-layer Kernel is used to extract features to classify t…

Python 8 Updated Feb 11, 2022

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Python 1 Updated Jun 28, 2022

Capsule network for fault diagnosis (胶囊网络用于故障诊断)

Python 30 7 Updated May 16, 2023

基于Laplace小波卷积和BiGRU的少量样本故障诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)

Python 50 8 Updated May 10, 2023
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