Popular GitHub Repositories for Guided Journal

Pytorch implementation of convolutional neural network visualization techniques

KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.

A language for constraint-guided and efficient LLM programming.

? Create Disco Diffusion artworks in one line

[SIGGRAPH Asia 2023] Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation

A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

collection of diffusion model papers categorized by their subareas

Machine Learning Journal for Intermediate to Advanced Topics.

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

:books: A collection of Deep Learning based Image Colorization and Video Colorization papers.

Implementation of Phenaki Video, which uses Mask GIT to produce text guided videos of up to 2 minutes in length, in Pytorch

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

Official implementation of the paper: "FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models"

Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)

For automating the creation of large batches of AI-generated artwork locally.

Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]

A personal news aggregator to pull information from multi-sources + LLM (ChatGPT/Gemini/Ollama via LangChain) to help us reading efficiently with less noises, the sources including: Tweets, RSS, YouTube, Web Articles, Reddit, and personal Journal notes.

A curated list of data science & AI guided projects to start building your portfolio