Prisma-AI is an open-source tool designed to assist users in their job search process by addressing common challenges such as lack of project highlights, mismatched resumes, difficulty in learning, and lack of answers in interview experiences. The tool utilizes AI to analyze user experiences, generate actionable project highlights, customize resumes for specific job positions, provide study materials for efficient learning, and offer structured interview answers. It also features a user-friendly interface for easy deployment and supports continuous improvement through user feedback and collaboration.

Feishu-MCP is a server that provides access, editing, and structured processing capabilities for Feishu documents for Cursor, Windsurf, Cline, and other AI-driven coding tools, based on the Model Context Protocol server. This project enables AI coding tools to directly access and understand the structured content of Feishu documents, significantly improving the intelligence and efficiency of document processing. It covers the real usage process of Feishu documents, allowing efficient utilization of document resources, including folder directory retrieval, content retrieval and understanding, smart creation and editing, efficient search and retrieval, and more. It enhances the intelligent access, editing, and searching of Feishu documents in daily usage, improving content processing efficiency and experience.

PPT Master is an AI-driven intelligent visual content generation system that converts source documents into high-quality SVG content through multi-role collaboration, supporting various formats such as presentation slides, social media posts, and marketing posters. It provides tools for PDF conversion, SVG post-processing, and PPTX export. Users can interact with AI editors to create content by describing their ideas. The system offers various AI roles for different tasks and provides a comprehensive documentation guide for workflow, design guidelines, canvas formats, image embedding best practices, chart templates, quick references, role definitions, tool usage instructions, example projects, and project workspace structure. Users can contribute to the project by enhancing design templates, chart components, documentation, bug reports, and feature suggestions. The project is open-source under the MIT License.

k8m is an AI-driven Mini Kubernetes AI Dashboard lightweight console tool designed to simplify cluster management. It is built on AMIS and uses 'kom' as the Kubernetes API client. k8m has built-in Qwen2.5-Coder-7B model interaction capabilities and supports integration with your own private large models. Its key features include miniaturized design for easy deployment, user-friendly interface for intuitive operation, efficient performance with backend in Golang and frontend based on Baidu AMIS, pod file management for browsing, editing, uploading, downloading, and deleting files, pod runtime management for real-time log viewing, log downloading, and executing shell commands within pods, CRD management for automatic discovery and management of CRD resources, and intelligent translation and diagnosis based on ChatGPT for YAML property translation, Describe information interpretation, AI log diagnosis, and command recommendations, providing intelligent support for managing k8s. It is cross-platform compatible with Linux, macOS, and Windows, supporting multiple architectures like x86 and ARM for seamless operation. k8m's design philosophy is 'AI-driven, lightweight and efficient, simplifying complexity,' helping developers and operators quickly get started and easily manage Kubernetes clusters.

LLM-TPU project aims to deploy various open-source generative AI models on the BM1684X chip, with a focus on LLM. Models are converted to bmodel using TPU-MLIR compiler and deployed to PCIe or SoC environments using C++ code. The project has deployed various open-source models such as Baichuan2-7B, ChatGLM3-6B, CodeFuse-7B, DeepSeek-6.7B, Falcon-40B, Phi-3-mini-4k, Qwen-7B, Qwen-14B, Qwen-72B, Qwen1.5-0.5B, Qwen1.5-1.8B, Llama2-7B, Llama2-13B, LWM-Text-Chat, Mistral-7B-Instruct, Stable Diffusion, Stable Diffusion XL, WizardCoder-15B, Yi-6B-chat, Yi-34B-chat. Detailed model deployment information can be found in the 'models' subdirectory of the project. For demonstrations, users can follow the 'Quick Start' section. For inquiries about the chip, users can contact SOPHGO via the official website.

BlueLM is a large-scale pre-trained language model developed by vivo AI Global Research Institute, featuring 7B base and chat models. It includes high-quality training data with a token scale of 26 trillion, supporting both Chinese and English languages. BlueLM-7B-Chat excels in C-Eval and CMMLU evaluations, providing strong competition among open-source models of similar size. The models support 32K long texts for better context understanding while maintaining base capabilities. BlueLM welcomes developers for academic research and commercial applications.

UnitySkills is an AI-driven Unity editor automation engine based on REST API. It allows AI to directly control Unity scenes through Skills. The tool offers extreme efficiency with Result Truncation and SKILL.md slimming, a versatile tool library with 282 Skills supporting Batch operations, ensuring transactional safety with automatic rollback, multiple instance support for controlling multiple Unity projects simultaneously, deep integration with Antigravity Slash Commands for interactive experience, compatibility with popular AI terminals like Claude Code, Antigravity, Gemini CLI, and support for Cinemachine 2.x/3.x dual versions with advanced camera control features like MixingCamera, ClearShot, TargetGroup, and Spline.

Hello-Agents is a comprehensive tutorial on building intelligent agent systems, covering both theoretical foundations and practical applications. The tutorial aims to guide users in understanding and building AI-native agents, diving deep into core principles, architectures, and paradigms of intelligent agents. Users will learn to develop their own multi-agent applications from scratch, gaining hands-on experience with popular low-code platforms and agent frameworks. The tutorial also covers advanced topics such as memory systems, context engineering, communication protocols, and model training. By the end of the tutorial, users will have the skills to develop real-world projects like intelligent travel assistants and cyber towns.

nndeploy is a tool that allows you to quickly build your visual AI workflow without the need for frontend technology. It provides ready-to-use algorithm nodes for non-AI programmers, including large language models, Stable Diffusion, object detection, image segmentation, etc. The workflow can be exported as a JSON configuration file, supporting Python/C++ API for direct loading and running, deployment on cloud servers, desktops, mobile devices, edge devices, and more. The framework includes mainstream high-performance inference engines and deep optimization strategies to help you transform your workflow into enterprise-level production applications.

Bailing is an open-source voice assistant designed for natural conversations with users. It combines Automatic Speech Recognition (ASR), Voice Activity Detection (VAD), Large Language Model (LLM), and Text-to-Speech (TTS) technologies to provide a high-quality voice interaction experience similar to GPT-4o. Bailing aims to achieve GPT-4o-like conversation effects without the need for GPU, making it suitable for various edge devices and low-resource environments. The project features efficient open-source models, modular design allowing for module replacement and upgrades, support for memory function, tool integration for information retrieval and task execution via voice commands, and efficient task management with progress tracking and reminders.

HivisionIDPhoto is a practical algorithm for intelligent ID photo creation. It utilizes a comprehensive model workflow to recognize, cut out, and generate ID photos for various user photo scenarios. The tool offers lightweight cutting, standard ID photo generation based on different size specifications, six-inch layout photo generation, beauty enhancement (waiting), and intelligent outfit swapping (waiting). It aims to solve emergency ID photo creation issues.

Jimeng AI Free API is a reverse-engineered API server that encapsulates Jimeng AI's image and video generation capabilities into OpenAI-compatible API interfaces. It supports the latest jimeng-5.0-preview, jimeng-4.6 text-to-image models, Seedance 2.0 multi-image intelligent video generation, zero-configuration deployment, and multi-token support. The API is fully compatible with OpenAI API format, seamlessly integrating with existing clients and supporting multiple session IDs for polling usage.

VS Code extension for monitoring Google Antigravity AI model quotas. It provides a webview dashboard, QuickPick mode, quota grouping, automatic grouping, renaming, card view, drag-and-drop sorting, status bar monitoring, threshold notifications, and privacy mode. Users can monitor quota status, remaining percentage, countdown, reset time, progress bar, and model capabilities. The extension supports local and authorized quota monitoring, multiple account authorization, and model wake-up scheduling. It also offers settings customization, user profile display, notifications, and group functionalities. Users can install the extension from the Open VSX Marketplace or via VSIX file. The source code can be built using Node.js and npm. The project is open-source under the MIT license.

ChatGPT-Next-Web-Pro is a tool that provides an enhanced version of ChatGPT-Next-Web with additional features and functionalities. It offers complete ChatGPT-Next-Web functionality, file uploading and storage capabilities, drawing and video support, multi-modal support, reverse model support, knowledge base integration, translation, customizations, and more. The tool can be deployed with or without a backend, allowing users to interact with AI models, manage accounts, create models, manage API keys, handle orders, manage memberships, and more. It supports various cloud services like Aliyun OSS, Tencent COS, and Minio for file storage, and integrates with external APIs like Azure, Google Gemini Pro, and Luma. The tool also provides options for customizing website titles, subtitles, icons, and plugin buttons, and offers features like voice input, file uploading, real-time token count display, and more.

The daily_stock_analysis repository is an intelligent stock analysis system based on AI large models for A-share/Hong Kong stock/US stock selection. It automatically analyzes and pushes a 'decision dashboard' to WeChat Work/Feishu/Telegram/email daily. The system features multi-dimensional analysis, global market support, market review, AI backtesting validation, multi-channel notifications, and scheduled execution using GitHub Actions. It utilizes AI models like Gemini, OpenAI, DeepSeek, and data sources like AkShare, Tushare, Pytdx, Baostock, YFinance for analysis. The system includes built-in trading disciplines like risk warning, trend trading, precise entry/exit points, and checklist marking for conditions.

TradeCat is a comprehensive data analysis and trading platform designed for cryptocurrency, stock, and macroeconomic data. It offers a wide range of features including multi-market data collection, technical indicator modules, AI analysis, signal detection engine, Telegram bot integration, and more. The platform utilizes technologies like Python, TimescaleDB, TA-Lib, Pandas, NumPy, and various APIs to provide users with valuable insights and tools for trading decisions. With a modular architecture and detailed documentation, TradeCat aims to empower users in making informed trading decisions across different markets.

Prisma-AI is an open-source tool designed to assist users in their job search process by addressing common challenges such as lack of project highlights, mismatched resumes, difficulty in learning, and lack of answers in interview experiences. The tool utilizes AI to analyze user experiences, generate actionable project highlights, customize resumes for specific job positions, provide study materials for efficient learning, and offer structured interview answers. It also features a user-friendly interface for easy deployment and supports continuous improvement through user feedback and collaboration.

ResuLLMe is a prototype tool that uses Large Language Models (LLMs) to enhance résumés by tailoring them to help candidates avoid common mistakes while applying for jobs. It acts as a smart career advisor to check and improve résumés. The tool supports both OpenAI and Gemini, providing users with smarter, more accurate career guidance. Users can upload their CV as a PDF or Word Document, and ResuLLMe uses LLMs to improve the résumé following published guidelines, convert it to a JSON Resume format, and render it using LaTeX to generate an enhanced PDF resume.

LLM is a repository focused on providing educational courses on artificial intelligence models, specifically focusing on language and image understanding. The courses are taught by Alireza Akhavan Pour and cover topics such as generative AI models and language-image understanding. The repository also includes information on how to contact the team through Telegram channels for course updates and Q&A sessions. Participants are encouraged to add their LLM or VLM course certificates to their LinkedIn profiles and tag Alireza Akhavan Pour for recognition and resume enhancement.

Awesome CS Books is a curated list of books on computer science and technology. The books are organized by topic, including programming languages, software engineering, computer networks, operating systems, databases, data structures and algorithms, big data, architecture, and interviews. The books are available in PDF format and can be downloaded for free. The repository also includes links to free online courses and other resources.

Awesome CS Books is a repository that archives excellent books related to computer science and technology, named in the format of {year}-{author}-{title}-{version}. It includes reading notes for each book, with PDF links provided at the beginning of the notes. The repository focuses on IT CS-related books, valuable open courses, and aims to provide a systematic way of learning to alleviate fragmented skills and one-sidedness. It respects the original authors by linking to official/copyright websites and emphasizes non-commercial use of the documents.

Algolisted is a pioneering platform dedicated to algorithmic problem-solving, offering a centralized hub for a diverse array of algorithmic challenges. It provides an immersive online environment for programmers to enhance their skills through Data Structures and Algorithms (DSA) sheets, academic progress tracking, resume refinement with OpenAI integration, adaptive testing, and job opportunity listings. The project is built on the MERN stack, Flask, Beautiful Soup, and Selenium,GEN AI, and deployed on Firebase. Algolisted aims to be a reliable companion in the pursuit of coding knowledge and proficiency.

2025-AI-College-Jobs is a repository containing a comprehensive list of AI/ML & Data Science jobs suitable for college students seeking internships or new graduate positions. The repository is regularly updated with positions posted within the last 120 days, featuring opportunities from various companies in the USA and internationally. The list includes positions in areas such as research scientist internships, quantitative research analyst roles, and other data science-related positions. The repository aims to provide a valuable resource for students looking to kickstart their careers in the field of artificial intelligence and machine learning.

Awesome RoadMaps and Interviews is a comprehensive repository that aims to provide guidance for technical interviews and career development in the ITCS field. It covers a wide range of topics including interview strategies, technical knowledge, and practical insights gained from years of interviewing experience. The repository emphasizes the importance of combining theoretical knowledge with practical application, and encourages users to expand their interview preparation beyond just algorithms. It also offers resources for enhancing knowledge breadth, depth, and programming skills through curated roadmaps, mind maps, cheat sheets, and coding snippets. The content is structured to help individuals navigate various technical roles and technologies, fostering continuous learning and professional growth.

**Prompt flow** is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality.

DeepEval is a simple-to-use, open-source LLM evaluation framework specialized for unit testing LLM outputs. It incorporates various metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., and runs locally on your machine for evaluation. It provides a wide range of ready-to-use evaluation metrics, allows for creating custom metrics, integrates with any CI/CD environment, and enables benchmarking LLMs on popular benchmarks. DeepEval is designed for evaluating RAG and fine-tuning applications, helping users optimize hyperparameters, prevent prompt drifting, and transition from OpenAI to hosting their own Llama2 with confidence.

MegaDetector is an AI model that identifies animals, people, and vehicles in camera trap images (which also makes it useful for eliminating blank images). This model is trained on several million images from a variety of ecosystems. MegaDetector is just one of many tools that aims to make conservation biologists more efficient with AI. If you want to learn about other ways to use AI to accelerate camera trap workflows, check out our of the field, affectionately titled "Everything I know about machine learning and camera traps".

LeapfrogAI is a self-hosted AI platform designed to be deployed in air-gapped resource-constrained environments. It brings sophisticated AI solutions to these environments by hosting all the necessary components of an AI stack, including vector databases, model backends, API, and UI. LeapfrogAI's API closely matches that of OpenAI, allowing tools built for OpenAI/ChatGPT to function seamlessly with a LeapfrogAI backend. It provides several backends for various use cases, including llama-cpp-python, whisper, text-embeddings, and vllm. LeapfrogAI leverages Chainguard's apko to harden base python images, ensuring the latest supported Python versions are used by the other components of the stack. The LeapfrogAI SDK provides a standard set of protobuffs and python utilities for implementing backends and gRPC. LeapfrogAI offers UI options for common use-cases like chat, summarization, and transcription. It can be deployed and run locally via UDS and Kubernetes, built out using Zarf packages. LeapfrogAI is supported by a community of users and contributors, including Defense Unicorns, Beast Code, Chainguard, Exovera, Hypergiant, Pulze, SOSi, United States Navy, United States Air Force, and United States Space Force.

This Docker image for LLaVA (Large Language and Vision Assistant) provides a convenient way to run LLaVA locally or on RunPod. LLaVA is a powerful AI tool that combines natural language processing and computer vision capabilities. With this Docker image, you can easily access LLaVA's functionalities for various tasks, including image captioning, visual question answering, text summarization, and more. The image comes pre-installed with LLaVA v1.2.0, Torch 2.1.2, xformers 0.0.23.post1, and other necessary dependencies. You can customize the model used by setting the MODEL environment variable. The image also includes a Jupyter Lab environment for interactive development and exploration. Overall, this Docker image offers a comprehensive and user-friendly platform for leveraging LLaVA's capabilities.

The 'carrot' repository on GitHub provides a list of free and user-friendly ChatGPT mirror sites for easy access. The repository includes sponsored sites offering various GPT models and services. Users can find and share sites, report errors, and access stable and recommended sites for ChatGPT usage. The repository also includes a detailed list of ChatGPT sites, their features, and accessibility options, making it a valuable resource for ChatGPT users seeking free and unlimited GPT services.

TrustLLM is a comprehensive study of trustworthiness in LLMs, including principles for different dimensions of trustworthiness, established benchmark, evaluation, and analysis of trustworthiness for mainstream LLMs, and discussion of open challenges and future directions. Specifically, we first propose a set of principles for trustworthy LLMs that span eight different dimensions. Based on these principles, we further establish a benchmark across six dimensions including truthfulness, safety, fairness, robustness, privacy, and machine ethics. We then present a study evaluating 16 mainstream LLMs in TrustLLM, consisting of over 30 datasets. The document explains how to use the trustllm python package to help you assess the performance of your LLM in trustworthiness more quickly. For more details about TrustLLM, please refer to project website.

AI-YinMei is an AI virtual anchor Vtuber development tool (N card version). It supports fastgpt knowledge base chat dialogue, a complete set of solutions for LLM large language models: [fastgpt] + [one-api] + [Xinference], supports docking bilibili live broadcast barrage reply and entering live broadcast welcome speech, supports Microsoft edge-tts speech synthesis, supports Bert-VITS2 speech synthesis, supports GPT-SoVITS speech synthesis, supports expression control Vtuber Studio, supports painting stable-diffusion-webui output OBS live broadcast room, supports painting picture pornography public-NSFW-y-distinguish, supports search and image search service duckduckgo (requires magic Internet access), supports image search service Baidu image search (no magic Internet access), supports AI reply chat box [html plug-in], supports AI singing Auto-Convert-Music, supports playlist [html plug-in], supports dancing function, supports expression video playback, supports head touching action, supports gift smashing action, supports singing automatic start dancing function, chat and singing automatic cycle swing action, supports multi scene switching, background music switching, day and night automatic switching scene, supports open singing and painting, let AI automatically judge the content.