Awesome AI Market Maps is a curated list of Artificial Intelligence startup market maps from 2025 and 2024, featuring over 275 market maps by top VCs, industry analysts, and AI practitioners. The list is organized by quarter, showcasing hot AI topics and the industry's rapid evolution. The data collection workflow includes various tools like ChatGPT, Google Gemini, and human-in-the-loop curation. The repository is regularly updated with new market maps, providing a comprehensive resource for the AI community.

AI Resources by DRIX10 is a comprehensive collection of top AI resources curated by experts. It provides daily updates, expert insights, and trending topics across various categories such as AI Developer Tools, AI Education, AI Artists and Creators, AI Companies and Ventures, and more. Users can explore resources related to different aspects of AI, including healthcare, music generation, real estate, content creation, climate technology, cybersecurity, and more.

The 'we-drawing' repository is a project that generates AI images based on Bing Image DALL-E-3 using a daily Chinese ancient poem as a prompt. It automatically triggers GitHub Action, fetches poems from '今日诗词' API, and builds the website with Astro. Users can subscribe to daily poem images via RSS feed and join the '新生代程序员群' WeChat group for discussions on front-end, back-end development, and AI technology.

AI Paint Today is an API server repository that allows users to record their emotions and daily experiences, and based on that, AI generates a beautiful picture diary of their day. The project includes features such as generating picture diaries from written entries, utilizing DALL-E 2 model for image generation, and deploying on AWS and Cloudflare. The project also follows specific conventions and collaboration strategies for development.

This project aims to integrate mainstream open-source large models to achieve the coordination and cooperation between different types of large models, providing comprehensive and flexible AI content generation services.

Learn-AI-Assisted-Python-Programming is a book that introduces readers to the world of AI-assisted programming, focusing on using tools like GitHub Copilot and ChatGPT to create and optimize Python programs. The book guides users, even those with no prior coding experience, on how to leverage AI assistants to quickly turn their ideas into reality without getting bogged down in low-level programming details. Readers will learn to generate code using natural language prompts, fine-tune code manually or with AI assistance, test programs with AI, and automate tedious tasks. The book aims to accelerate the learning journey of Copilot programming and provide a user-friendly and thoughtful approach for beginners.

100 Days of Code is a repository containing 100 frontend challenges with professional designs, user stories, and acceptance criteria. It provides a platform for developers to practice coding daily, from beginner-friendly cards to advanced dashboards. The challenges are structured for AI collaboration, allowing users to work with coding agents like Claude, Cursor, and GitHub Copilot. The repository also includes an AI Collaboration Log template to document the use of AI tools and showcase effective collaboration. Developers can replicate design mockups, add interactivity with JavaScript, and share their solutions on social media platforms.

azooKey-Desktop is an open-source Japanese input system for macOS that incorporates the high-precision neural kana-kanji conversion engine 'Zenzai'. It offers features such as neural kana-kanji conversion, profile prompt, history learning, user dictionary, integration with personal optimization system 'Tuner', 'nice feeling conversion' with LLM, live conversion, and native support for AZIK. The tool is currently in alpha version, and its operation is not guaranteed. Users can install it via `.pkg` file or Homebrew. Development contributions are welcome, and the project has received support from the Information-technology Promotion Agency, Japan (IPA) for the 2024 fiscal year's untapped IT human resources discovery and nurturing project.

HiMarket is an out-of-the-box AI open platform solution that can be used to build enterprise-level AI capability markets and developer ecosystem centers. It consists of three core components tailored to different roles within the enterprise: 1. AI open platform management backend (for administrators/operators) for easy packaging of diverse AI capabilities such as model services, MCP Server, Agent, etc., into standardized 'AI products' in API form with comprehensive documentation and examples for one-click publishing to the portal. 2. AI open platform portal (for developers/internal users) as a 'storefront' for developers to complete registration, create consumers, obtain credentials, browse and subscribe to AI products, test online, and monitor their own call status and costs clearly. 3. AI Gateway: As a subproject of the Higress community, the Higress AI Gateway carries out all AI call authentication, security, flow control, protocol conversion, and observability capabilities.

QuantCoder is a local-first CLI tool that generates QuantConnect trading algorithms from academic research papers. It uses local LLMs for code generation, refinement, and error fixing. The tool does not require cloud API keys and offers models for reasoning, summarization, and chat. Users can interact with QuantCoder through interactive, CLI, programmatic, and autonomous modes. It also features an evolution mode inspired by AlphaEvolve, backtesting with detailed metrics, library building, and integration with QuantConnect for backtesting and deployment. The tool's architecture includes components for CLI, configuration management, NLP, multi-agent system, evolution engine, self-improving pipeline, library builder, and integration with QuantConnect MCP.

This repository contains a Telegram bot built with Golang that integrates with DeepSeek API to provide AI-powered responses. The bot supports streaming replies, making interactions feel more natural and dynamic. It offers features like AI responses, streaming output, command handling, and easy deployment. Users can configure the bot via environment variables for customization. The bot can be deployed locally or on a cloud server, and it supports custom commands and real-time responses.

Train-llm-from-scratch is a repository that guides users through training a Large Language Model (LLM) from scratch. The model size can be adjusted based on available computing power. The repository utilizes deepspeed for distributed training and includes detailed explanations of the code and key steps at each stage to facilitate learning. Users can train their own tokenizer or use pre-trained tokenizers like ChatGLM2-6B. The repository provides information on preparing pre-training data, processing training data, and recommended SFT data for fine-tuning. It also references other projects and books related to LLM training.

This is a coding problem-solving assistant for Chinese users, tailored to the domestic AI ecosystem, simple and easy to use. It provides real-time problem-solving ideas and code analysis for coding interviews, avoiding detection during screen sharing. Users can also extend its functionality for other scenarios by customizing prompt words. The tool supports various programming languages and has stealth capabilities to hide its interface from interviewers even when screen sharing.

LMForge is an end-to-end LLMOps platform designed for multi-model agents. It provides a comprehensive solution for managing and deploying large language models efficiently. The platform offers tools for training, fine-tuning, and deploying various types of language models, enabling users to streamline the development and deployment process. With LMForge, users can easily experiment with different model architectures, optimize hyperparameters, and scale their models to meet specific requirements. The platform also includes features for monitoring model performance, managing datasets, and collaborating with team members, making it a versatile tool for researchers and developers working with language models.

Aichat is an AI-powered CLI chat and copilot tool that seamlessly integrates with over 10 leading AI platforms, providing a powerful combination of chat-based interaction, context-aware conversations, and AI-assisted shell capabilities, all within a customizable and user-friendly environment.

StockBot Powered by Groq is an AI-powered chatbot that provides lightning-fast responses with live interactive stock charts, financial data, news, screeners, and more. Leveraging Groq's speed and Vercel's AI SDK, StockBot offers real-time conversation with natural language processing, interactive TradingView charts, adaptive interfaces, and multi-asset market coverage. It is designed for entertainment and instructional use, not for investment advice.

FinVeda is a dynamic financial literacy app that aims to solve the problem of low financial literacy rates in India by providing a platform for financial education. It features an AI chatbot, finance blogs, market trends analysis, SIP calculator, and finance quiz to help users learn finance with finesse. The app is free and open-source, licensed under the GNU General Public License v3.0. FinVeda was developed at IIT Jammu's Udyamitsav'24 Hackathon, where it won first place in the GenAI track and third place overall.

Solana AI Trade Bot is an advanced trading tool specifically designed for meme token trading on the Solana blockchain. It leverages AI technology powered by GPT-4.0 to automate trades, identify low-risk/high-potential tokens, and assist in token creation and management. The bot offers cross-platform compatibility and a range of configurable settings for buying, selling, and filtering tokens. Users can benefit from real-time AI support and enhance their trading experience with features like automatic selling, slippage management, and profit/loss calculations. To optimize performance, it is recommended to connect the bot to a private light node for efficient trading execution.

DeerFlow is a community-driven Deep Research framework that combines language models with specialized tools for tasks like web search, crawling, and Python code execution. It supports FaaS deployment and one-click deployment based on Volcengine. The framework includes core capabilities like LLM integration, search and retrieval, RAG integration, MCP seamless integration, human collaboration, report post-editing, and content creation. The architecture is based on a modular multi-agent system with components like Coordinator, Planner, Research Team, and Text-to-Speech integration. DeerFlow also supports interactive mode, human-in-the-loop mechanism, and command-line arguments for customization.

Awesome Quant AI is a curated list of resources focusing on quantitative investment and trading strategies using artificial intelligence and machine learning in finance. It covers key challenges in quantitative finance, AI/ML technical fit, predictive modeling, sequential decision-making, synthetic data generation, contextual reasoning, mathematical foundations, design approach, quantitative trading strategies, tools and platforms, learning resources, books, research papers, community, and conferences. The repository aims to provide a comprehensive resource for those interested in the intersection of AI, machine learning, and quantitative finance, with a focus on extracting alpha while managing risk in financial systems.

Neuro SAN Studio is an open-source library for building agent networks across various industries. It simplifies the development of collaborative AI systems by enabling users to create sophisticated multi-agent applications using declarative configuration files. The tool offers features like data-driven configuration, adaptive communication protocols, safe data handling, dynamic agent network designer, flexible tool integration, robust traceability, and cloud-agnostic deployment. It has been used in various use-cases such as automated generation of multi-agent configurations, airline policy assistance, banking operations, market analysis in consumer packaged goods, insurance claims processing, intranet knowledge management, retail operations, telco network support, therapy vignette supervision, and more.

Awesome AI Market Maps is a curated list of Artificial Intelligence startup market maps from 2025 and 2024, featuring over 275 market maps by top VCs, industry analysts, and AI practitioners. The list is organized by quarter, showcasing hot AI topics and the industry's rapid evolution. The data collection workflow includes various tools like ChatGPT, Google Gemini, and human-in-the-loop curation. The repository is regularly updated with new market maps, providing a comprehensive resource for the AI community.

Aimer_WT is a web scraping tool designed to extract data from websites efficiently and accurately. It provides a user-friendly interface for users to specify the data they want to scrape and offers various customization options. With Aimer_WT, users can easily automate the process of collecting data from multiple web pages, saving time and effort. The tool is suitable for both beginners and experienced users who need to gather data for research, analysis, or other purposes. Aimer_WT supports various data formats and allows users to export the extracted data for further processing.

NanoLLM is a tool designed for optimized local inference for Large Language Models (LLMs) using HuggingFace-like APIs. It supports quantization, vision/language models, multimodal agents, speech, vector DB, and RAG. The tool aims to provide efficient and effective processing for LLMs on local devices, enhancing performance and usability for various AI applications.

This repository contains materials for the Microsoft Learn AI Fundamentals module. It covers the basics of artificial intelligence, machine learning, and data science. The content includes hands-on labs, interactive learning modules, and assessments to help learners understand key concepts and techniques in AI. Whether you are new to AI or looking to expand your knowledge, this module provides a comprehensive introduction to the fundamentals of AI.

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

The go2coding.github.io repository is a collection of resources for AI enthusiasts, providing information on AI products, open-source projects, AI learning websites, and AI learning frameworks. It aims to help users stay updated on industry trends, learn from community projects, access learning resources, and understand and choose AI frameworks. The repository also includes instructions for local and external deployment of the project as a static website, with details on domain registration, hosting services, uploading static web pages, configuring domain resolution, and a visual guide to the AI tool navigation website. Additionally, it offers a platform for AI knowledge exchange through a QQ group and promotes AI tools through a WeChat public account.

AI-Notes is a repository dedicated to practical applications of artificial intelligence and deep learning. It covers concepts such as data mining, machine learning, natural language processing, and AI. The repository contains Jupyter Notebook examples for hands-on learning and experimentation. It explores the development stages of AI, from narrow artificial intelligence to general artificial intelligence and superintelligence. The content delves into machine learning algorithms, deep learning techniques, and the impact of AI on various industries like autonomous driving and healthcare. The repository aims to provide a comprehensive understanding of AI technologies and their real-world applications.

Prompt Panel is a tool designed to accelerate the adoption of AI agents by providing a platform where users can run large language models across any inference provider, create custom agent plugins, and use their own data safely. The tool allows users to break free from walled-gardens and have full control over their models, conversations, and logic. With Prompt Panel, users can pair their data with any language model, online or offline, and customize the system to meet their unique business needs without any restrictions.

The 'ai-demos' repository is a collection of example code from presentations focusing on building with AI and LLMs. It serves as a resource for developers looking to explore practical applications of artificial intelligence in their projects. The code snippets showcase various techniques and approaches to leverage AI technologies effectively. The repository aims to inspire and educate developers on integrating AI solutions into their applications.

AI Summer is a repository focused on providing workshops and resources for developing foundational skills in generative AI models and transformer models. The repository offers practical applications for inferencing and training, with a specific emphasis on understanding and utilizing advanced AI chat models like BingGPT. Participants are encouraged to engage in interactive programming environments, decide on projects to work on, and actively participate in discussions and breakout rooms. The workshops cover topics such as generative AI models, retrieval-augmented generation, building AI solutions, and fine-tuning models. The goal is to equip individuals with the necessary skills to work with AI technologies effectively and securely, both locally and in the cloud.