15350 listings found(showing 751-800)
ByteRover CLI
ByteRover CLI is a portable memory layer designed for autonomous coding agents, enhancing their coding capabilities. It is ideal for developers looking to integrate advanced memory management into their coding workflows.
Operit
Operit is a powerful AI agent and chat software designed for Android, offering advanced capabilities for users. It is ideal for developers looking to integrate AI functionalities into their Android applications.
MLX-VLM
MLX-VLM is a powerful package designed for inference and fine-tuning of Vision Language Models on Mac systems. It caters to developers and researchers looking to leverage advanced AI capabilities in their local environments.
Vibe Tools
Vibe Tools provides an AI team and advanced skills for the Cursor Agent, enhancing its capabilities. This tool is ideal for developers looking to integrate AI functionalities into their local applications.
Text to CAD
Text to CAD provides a collection of agent skills designed for CAD, robotics, and hardware design. It is ideal for engineers and developers looking to automate and enhance their design workflows using AI agents.
This repository provides a comprehensive 60-day curriculum to learn Deep Reinforcement Learning, complete with lectures and Python code. It is ideal for learners and practitioners looking to deepen their understanding of reinforcement learning techniques and applications.
FormKit
FormKit is a powerful form framework designed for coding agents, enabling seamless form generation and validation. It is ideal for developers looking to create dynamic forms in React and Vue applications.
LLM Graph Builder enables the construction of Neo4j graphs from unstructured data using large language models. It is ideal for data scientists and developers looking to integrate AI with graph databases for enhanced data insights.
Learn Prompting
Learn Prompting is a comprehensive guide focused on prompt engineering and generative AI, designed to help users master the art of crafting effective prompts for large language models. This resource is ideal for AI enthusiasts, developers, and anyone looking to enhance their skills in working with AI technologies.
This comprehensive guide demystifies AI concepts for learners ranging from students to engineers. It covers everything from neural networks to large models, making AI accessible and understandable for all.
NLP Augmentation
NLP Augmentation provides data augmentation techniques specifically designed for natural language processing tasks. It is ideal for data scientists and machine learning practitioners looking to enhance their NLP datasets.
Nexent
Nexent is a zero-code platform designed for auto-generating production-grade AI agents, leveraging Harness Engineering principles. It is ideal for developers and organizations looking to streamline the creation and orchestration of AI agents without extensive coding requirements.
This repository provides comprehensive guidelines for building practical production-level deep learning systems suitable for real-world applications. It is ideal for developers and data scientists looking to enhance their skills in deploying scalable AI solutions.
Horizon
Horizon is an AI-powered news aggregator that generates daily briefings in both English and Chinese. It is designed for users seeking to stay informed with personalized news updates.
Emdash
Emdash is an open-source agentic development environment that allows users to run multiple coding agents in parallel. It is designed for developers looking to enhance their coding efficiency through automation and orchestration of tasks.
LLM Datasets
LLM Datasets is a curated list of datasets and tools designed for post-training of language models. It serves researchers and developers looking for high-quality resources to enhance their AI projects.
Zep
Zep is a curated collection of examples and integrations for AI applications, focusing on knowledge graphs and language models. It is ideal for developers and researchers looking for practical resources and inspiration in the AI space.
Integuru
Integuru is an AI agent that enables users to create permissionless integrations by reverse engineering the internal APIs of various platforms. It is designed for developers and businesses looking to automate workflows without relying on official API access.
Rivet
Rivet is an open-source visual AI programming environment that enables users to create applications using a TypeScript library. It is designed for developers looking to integrate AI capabilities into their projects seamlessly.
AG2 is an open-source AgentOS designed for building and managing AI agents. It is ideal for developers and researchers looking to create multi-agent systems using a flexible framework.
Deep Research
Deep Research allows users to leverage various Large Language Models for in-depth research tasks. It is designed for developers and researchers looking to integrate LLM capabilities into their applications.
The Go SDK for Model Context Protocol provides a robust framework for building servers and clients that adhere to the Model Context Protocol. It is ideal for developers looking to integrate advanced AI capabilities into their applications using Go.
Tree of Thoughts
Tree of Thoughts is a plug-and-play implementation designed to enhance problem-solving capabilities using large language models. It is ideal for developers and researchers looking to improve model reasoning significantly.
This tool processes multi-source content for NotebookLM, transforming various formats like WeChat articles, web pages, and PDFs into usable outputs such as podcasts and quizzes. It is ideal for users looking to automate content conversion and enhance their productivity with diverse media formats.
Youtu Agent
Youtu Agent is a powerful open-source agent framework designed for building and deploying AI agents. It is ideal for developers looking to leverage AI capabilities in their applications using a flexible and extensible framework.
Olares
Olares is an open-source personal cloud solution designed to help users reclaim control over their data. It is ideal for individuals looking to set up a self-hosted cloud environment for personal use or home automation.
This repository provides a comprehensive list of permanently free LLM APIs, making it a valuable resource for developers and researchers looking to integrate language models into their applications. It serves as a curated collection of accessible APIs for various AI projects and experimentation.
This tutorial provides a comprehensive guide to mastering PyTorch, catering to both beginners and advanced users in computer vision, NLP, and LLM applications. It is designed for anyone looking to enhance their skills in deep learning and practical deployment.
Tengine
Tengine is a lightweight and high-performance modular inference engine designed for embedded devices. It is ideal for developers looking to implement efficient AI solutions in resource-constrained environments.
This repository offers a curated collection of tutorials and resources focused on Large Language Models and AI-generated content. It is ideal for learners and practitioners looking to enhance their skills in AI painting, prompt engineering, and more.
GitHub Agentic Workflows enables users to automate workflows using AI agents, enhancing productivity and integration within GitHub. It is designed for developers and teams looking to streamline their CI/CD processes with intelligent automation.
MC Porter
MC Porter is a TypeScript utility that allows users to call MCPs through a simplified API or package them as a command-line interface. It is designed for developers looking to streamline their interactions with MCPs in TypeScript projects.
Peekaboo
Peekaboo is a macOS CLI and optional MCP server that allows AI agents to capture screenshots of applications or the entire system. It is designed for developers and users looking to integrate visual question answering capabilities into their workflows using local or remote AI models.
This repository provides a comprehensive guide to large language models, covering various aspects of artificial intelligence and deep learning. It is ideal for students and professionals looking to deepen their understanding of NLP and related technologies.
Solace Agent Mesh is an event-driven framework designed for building and orchestrating multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, making it ideal for developers looking to create complex workflows.
Exa MCP Server
Exa MCP Server is a powerful tool designed for web search and web crawling, enabling developers to efficiently gather and process web data. It is ideal for teams looking to implement advanced search capabilities and data extraction from the web.
PPTAgent
PPTAgent is an agentic framework designed for generating reflective PowerPoint presentations. It is ideal for developers and researchers looking to automate and enhance their presentation creation process using AI.
RAG App
RAG App provides a straightforward way to implement Agentic Retrieval-Augmented Generation in enterprise environments. It is ideal for developers looking to integrate advanced AI capabilities into their applications seamlessly.
StarVector
StarVector is a foundation model designed for generating SVG code from visual and textual inputs, leveraging a vision-language modeling architecture. It is ideal for developers and designers looking to automate the creation of high-quality vector graphics.
Ultravox
Ultravox is a fast multimodal LLM designed for real-time voice applications. It is ideal for developers looking to integrate advanced speech capabilities into their projects.
Agency Swarm
Agency Swarm is a reliable multi-agent orchestration framework designed to facilitate the coordination of multiple AI agents. It is ideal for developers looking to build complex systems that require seamless interaction between various agents.
ENScan GO
ENScan GO is a powerful tool designed for collecting and aggregating information about domestic companies from various enterprise information APIs. It is ideal for cybersecurity professionals and red teamers looking to streamline their data collection processes.
This repository provides over 100 original visualizations of LLM and RL algorithms, making complex concepts more accessible. It is ideal for learners and practitioners in AI and machine learning looking to deepen their understanding of these advanced topics.
Cognita
Cognita is a Retrieval Augmented Generation (RAG) framework designed for building modular, open-source applications for production. It is ideal for developers looking to implement advanced AI capabilities in their projects.
LLM Foundry provides robust training code for foundation models on Databricks, enabling developers to efficiently build and deploy large language models. It is ideal for data scientists and machine learning engineers looking to leverage advanced deep learning techniques in their projects.
This repository provides a step-by-step implementation of a reasoning LLM in PyTorch, making it an excellent resource for learners and practitioners in AI. It is designed for those interested in deep learning and reasoning models, offering practical insights and hands-on coding experience.
Entire CLI
Entire CLI enhances your Git workflow by capturing AI agent sessions, creating a searchable record of code development. It is designed for developers looking to integrate AI insights directly into their coding practices.
LMOps provides a comprehensive framework for enabling AI capabilities with large language models (LLMs) and multi-language models (MLLMs). It is designed for developers and researchers looking to integrate advanced AI functionalities into their applications.
GLM-4.5
GLM-4.5 is a foundation model designed for agentic reasoning and coding tasks. It is ideal for developers and researchers looking to implement advanced language models in their applications.
Deep Daze
Deep Daze is a command line tool that generates images from text using OpenAI's CLIP and Siren techniques. It is ideal for developers and researchers interested in exploring text-to-image generation with deep learning models.