Stars
Code for TFG: Unified Training-Free Guidance for Diffusion Models
Sandwich Debonding Detection and Size Estimation by Electro-mechanical Impedance Method and Machine Learning
This repository contains a novel time-series dataset for impact detection and localization on a plastic thin-plate, towards Structural Health Monitoring applications, using ceramic piezoelectric tr…
Safety helmet wearing detect dataset, with pretrained model
OpenMMLab Detection Toolbox and Benchmark
Diffusion model papers, survey, and taxonomy
[ICML 2024] Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs (RPG)
Official implementation for "Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training" https://arxiv.org/abs/2211.11138
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"
This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"
An Efficient Framework for Fast UAV Exploration
Rapid Exploration with Multiple Unmanned Aerial Vehicles (UAV)
This repository is the implementation of an automatic human hazard detection model based on a human posture. Collaborated with SNU HIS LAB.
Extract features and detect anomalies in industrial machinery vibration data using a biLSTM autoencoder
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
Machine Learning in Action学习笔记，一个文件夹代表一个算法，每个文件夹包含算法所需的数据集、源码和图片，图片放在pic文件夹中，数据集放在在Data文件夹内。书中的代码是python2的，有不少错误，这里代码是我用python3写的，且都能直接运行
Tinyhttpd 是J. David Blackstone在1999年写的一个不到 500 行的超轻量型 Http Server，用来学习非常不错，可以帮助我们真正理解服务器程序的本质。官网:http://tinyhttpd.sourceforge.net
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A Collection of Variational Autoencoders (VAE) in PyTorch.