Popular GitHub Repositories for Refined Soundex

Unleash endless possibilities with ComfyUI and Stable Diffusion, committed to crafting refined AI-Gen tools and cultivating a vibrant community for both developers and users.

Thai natural language processing in Python

Code for AAAI 2021 paper: R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

Hierarchically-Refined Label Attention Network for Sequence Labeling

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

ReFinED is an efficient and accurate entity linking (EL) system.

Abydos NLP/IR library for Python

[NeurIPS 2024] NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing

[CVPRW 2020] Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification

Multi-level Attention Refined UNet for crowd counting

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎：https://zhuanlan.zhihu.com/p/12186430182

Code：Completely Unsupervised Speech Recognition By A Generative Adversarial Network Harmonized With Iteratively Refined Hidden Markov Models

Frame Interpolation Refined with Stable Diffusion via Control Net

A refined evaluation pipeline for 3D molecular generative models trained on GEOM-Drugs.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery (ICCVW 2025)

I refined them over hundreds of real-life tests, experiments, and actual shipped products.

This work proposes a feature refined end-to-end tracking framework with a balanced performance using a high-level feature refine tracking framework. The feature refine module enhances the target feature representation power that allows the network to capture salient information to locate the target. The attention module is employed inside the feature refine mechanism to improve network discrimination power that augments the network ability to track the target in challenging scenarios.

Multiple Conditioned Image Generation, SDXL, Low-rank adaptation Refined

This project leverages LSTM networks, a type of RNN, to accurately predict fruit and vegetable prices by analyzing a comprehensive dataset, utilizing a refined model adept at navigating the complexities and patterns within agricultural market data.

POPNASv3 development repository, a neural architecture search method developed for a master thesis by Andrea Falanti (Politecnico di Milano, academic year 2020-2021) and subsequently refined as research assistant for the AI-SPRINT european project.