Popular GitHub Repositories for Literals Defined

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

RAI is a multi-vendor agent framework for robotics, utilizing Langchain and ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more.

Resume_Builder_AIHawk is a powerful Python tool that allows you to automatically customize your resume based on a job URL, ensuring it perfectly aligns with the job requirements and skills. With an interactive command-line interface, this tool makes it easy to navigate through options and select from various pre-defined styles

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

Merges two latent diffusion models at a user-defined ratio

EvalGPT is an code interpreter framework that utilizes large language models to automate the process of code-writing and execution, delivering precise results for user-defined tasks.

Built-in MCP client–powered document/news management tool with daily auto summaries, document interaction, user-defined notifications (email, phone, etc.), and customizable model support.内置 MCP 客户端的文档/资讯管理工具，支持每日自动总结、文档交互、自定义通知（邮箱、电话等）以及模型自定义。

OpenMAS is an open source multi-agent simulator based in Matlab for the simulation of decentralized intelligent systems defined by arbitrary behaviours and dynamics.

Multimodal entity linking (MEL) aims to utilize multimodal information to map mentions to corresponding entities defined in knowledge bases. We release three MEL datasets: Weibo-MEL, Wikidata-MEL and Richpedia-MEL, containing 25,602, 18,880 and 17,806 samples from social media, encyclopedia and multimodal knowledge graphs respectively. A MEL dataset construction approach is proposed, including five stages: multimodal information extraction, mention extraction, entity extraction, triple construction and dataset construction. Experiment results demonstrate the usability of the datasets and the distinguishability between baseline models.

Sionna Research Kit: A GPU-Accelerated Research Platform for AI-RAN

Merges latent diffusion models at a user-defined ratio

CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuously-defined, velocity fields in Numpy, Tensorflow and Pytorch

Auto-Annotate - Automatically annotate your entire image directory by a single command. As simple as saying - "Annotate all the street sign (label) in the autonomous car dataset (directory)" and BAM! DONE. Each and every image with a street sign in the diverse dataset directory containing images of all sorts which have a street sign are filtered and the segmentation annotation is performed in a single command. The Auto-Annotate tool provides auto annotation of segmentation masks for the objects in the images inside some directory based on the labels. Auto-Annotate is able to provide automated annotations for the labels defined in the COCO Dataset and also supports Custom Labels.

This is a wallet analysis tool designed for building and testing strategies. It comes with powerful features, including: ?Exporting PnL images across custom time windows ?Exporting detailed wallet trade data in CSV format ?Discovering the Top 100 Pump.fun wallets based on user-defined filters

Machine Learning Based - Intrusion Detection System

:shield: A GRU deep learning system against attacks in Software Defined Networks (SDN).

A lightweight utility to handle dynamic UI display states like loading, error, or any custom-defined state — based on your app logic.

An extremely generic Java library for applying A* and other built-in search algorithms to user-defined graphs.

Document classification into four defined categories (World, Sports, Business, Sci/Tech). Text Pre-processing using NLTK. Trained with different models ranging from Naïve Bayes to Convolutional Neural Network (CNN) and RCNN.

?️ Cloud native policy engine for Kubernetes: validates, mutates, generates, clean (and more) based on conditions defined on powerful templates