clipturbo

ClipTurbo is an AI-driven short video creation tool designed to help individuals become popular short video creators and easily monetize their videos. It utilizes AI for text processing, translation, icon matching, and TTS voice synthesis, and renders videos using manim. The tool offers various templates for scenes and supports multiple platforms including Windows, with plans for a MacOS client and a web version. The repository is used to release ClipTurbo's versions and collect user feedback via Github Issues. The decision to open-source ClipTurbo in the future depends on community feedback.

Airclap is a user-friendly, cross-platform, ultra-fast, and beautifully designed file transfer tool that allows you to send any file to any device without requiring an internet connection. With its wireless transfer and nearby sharing capabilities, you can easily share files between devices on different platforms, including Mac, iOS, Windows, and Android. Airclap's modern user interface provides a simplified and intuitive transfer experience, with clear and real-time feedback. It also offers ultra-fast transfer speeds, maximum transfer speed available on the local network, and a highly stable transmission process. Additionally, Airclap provides abundant shortcuts and a clear file list with preview thumbnails for easy file management.

Apex-Aim-Panel-v2.31.23.4 is a cheat tool designed for Apex Legends that provides features like Aimbot, ESP, and Misc functionalities. Users can safely ignore antivirus triggers and follow the provided instructions to run the software, enabling them to enhance their gameplay experience in Apex Legends.

A powerful starting kit for building AI-powered video applications. This toolkit simplifies the complexities of working with AI video models in the browser. It offers browser-native video processing, AI model integration, advanced media capabilities, and developer utilities. The tech stack includes fal.ai for AI model infrastructure, Next.js for React framework, Remotion for video processing, IndexedDB for browser-based storage, Vercel for deployment platform, and UploadThing for file upload. The kit provides features like seamless video handling, multi-clip composition, audio track integration, voiceover support, metadata encoding, and ready-to-use UI components.

The MCP Java SDK is a set of projects that provide Java SDK integration for the Model Context Protocol. It enables Java applications to interact with AI models and tools through a standardized interface, supporting both synchronous and asynchronous communication patterns.

Chat Chat is a unified chat and search to AI platform with a simple and easy-to-use interface. It supports major AI providers such as Anthropic, OpenAI, Cohere, and Google Gemini, and is easy to self-host. Chat Chat can be used for a variety of tasks, including searching for information, getting help with writing, and translating languages.

Xpert is a powerful tool for data analysis and visualization. It provides a user-friendly interface to explore and manipulate datasets, perform statistical analysis, and create insightful visualizations. With Xpert, users can easily import data from various sources, clean and preprocess data, analyze trends and patterns, and generate interactive charts and graphs. Whether you are a data scientist, analyst, researcher, or student, Xpert simplifies the process of data analysis and visualization, making it accessible to users with varying levels of expertise.

The 'ai-self-coding-book' repository is a guidebook that aims to teach how to create complex applications with commercial value using natural language and AI, rather than simple toy projects. It provides insights on AI programming concepts and practical applications, emphasizing real-world use cases and best practices for development.

OpenAgents is a platform for AI agents using open protocols. The current flagship product (v4) is an agentic chat app live at openagents.com. This repository holds the new cross-platform version (v5), with an initial focus on Coder, a desktop app intended to replace Claude Code with standard chat UI & thread history and first-class MCP integration. The v5 tech stack includes React, React Native, TypeScript for frontend, Cloudflare stack for backend, better-auth for authentication, and Vercel AI SDK. The architecture considerations aim for cross-platform code reuse, open protocol interoperability, long-running agent processes, composability, proportional payment to contributors, and agent wallets for Bitcoin/Lightning & stablecoins via Spark wallet.

JetStream is a throughput and memory optimized engine for Large Language Model (LLM) inference on XLA devices, specifically TPUs. It provides reference engine implementations for Jax and Pytorch models, along with documentation for online inference, serving Gemma using TPUs on GKE, benchmarking, observability, profiling, and standalone local setup. Users can easily set up a local server, run tests, and test core modules. JetStream aims to enhance the performance of LLM inference on XLA devices.

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.

JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome). It is designed to provide high performance and scalability for large language models, enabling efficient inference on cloud-based TPUs. JetStream leverages XLA to optimize the execution of LLM models, resulting in faster and more efficient inference. Additionally, JetStream supports quantization techniques to further enhance performance and reduce memory consumption. By utilizing JetStream, developers can deploy and run LLM models on TPUs with ease, achieving optimal performance and cost-effectiveness.

Flock is a workflow-based low-code platform that enables rapid development of chatbots, RAG applications, and coordination of multi-agent teams. It offers a flexible, low-code solution for orchestrating collaborative agents, supporting various node types for specific tasks, such as input processing, text generation, knowledge retrieval, tool execution, intent recognition, answer generation, and more. Flock integrates LangChain and LangGraph to provide offline operation capabilities and supports future nodes like Conditional Branch, File Upload, and Parameter Extraction for creating complex workflows. Inspired by StreetLamb, Lobe-chat, Dify, and fastgpt projects, Flock introduces new features and directions while leveraging open-source models and multi-tenancy support.

Bag of words is an open-source AI platform that helps data teams deploy and manage chat-with-your-data agents in a controlled, reliable, and self-learning environment. It enables users to create charts, tables, and dashboards by chatting with their data, capture AI decisions and user feedback, automatically improve AI quality, integrate with various data sources and APIs, and ensure governance and integrations. The platform supports self-hosting in VPC via VMs, Docker/Compose, or Kubernetes, and offers additional integrations for AI Analyst in Slack, Excel, Google Sheets, and more. Users can start in minutes and scale to org-wide analytics.

The AI Bootcamp is a comprehensive training program focusing on real-world applications to equip individuals with the skills and knowledge needed to excel as AI engineers. The bootcamp covers topics such as Real-World PyTorch, Machine Learning Projects, Fine-tuning Tiny LLM, Deployment of LLM to Production, AI Agents with GPT-4 Turbo, CrewAI, Llama 3, and more. Participants will learn foundational skills in Python for AI, ML Pipelines, Large Language Models (LLMs), AI Agents, and work on projects like RagBase for private document chat.

Remix Antd Admin is a full-stack management system built on Remix and Antd/TailwindCSS, featuring RBAC permission management and remix-i18n integration. It aims to provide a modern, simple, fast, and scalable full-stack website. The project is currently in development, transitioning from UI to full-stack, with a focus on stable architecture. The frontend utilizes remix data flow with server-side rendering, while the backend API uses redux-toolkit/query, prisma, rxjs, zod, and remix action/loader for server API services. The project includes authorization management with jose jwt for external API services beyond web applications. Key libraries used are Remix, express, Prisma, and pgsql.

InvokeAI is a leading creative engine built to empower professionals and enthusiasts alike. Generate and create stunning visual media using the latest AI-driven technologies. InvokeAI offers an industry leading Web Interface, interactive Command Line Interface, and also serves as the foundation for multiple commercial products.

Open-Sora-Plan is a project that aims to create a simple and scalable repo to reproduce Sora (OpenAI, but we prefer to call it "ClosedAI"). The project is still in its early stages, but the team is working hard to improve it and make it more accessible to the open-source community. The project is currently focused on training an unconditional model on a landscape dataset, but the team plans to expand the scope of the project in the future to include text2video experiments, training on video2text datasets, and controlling the model with more conditions.

Comflowyspace is an open-source AI image and video generation tool that aims to provide a more user-friendly and accessible experience than existing tools like SDWebUI and ComfyUI. It simplifies the installation, usage, and workflow management of AI image and video generation, making it easier for users to create and explore AI-generated content. Comflowyspace offers features such as one-click installation, workflow management, multi-tab functionality, workflow templates, and an improved user interface. It also provides tutorials and documentation to lower the learning curve for users. The tool is designed to make AI image and video generation more accessible and enjoyable for a wider range of users.

Rewind AI is a free and open-source AI-powered video editing tool that allows users to easily create and edit videos. It features a user-friendly interface, a wide range of editing tools, and support for a variety of video formats. Rewind AI is perfect for beginners and experienced video editors alike.

MoneyPrinterTurbo is a tool that can automatically generate video content based on a provided theme or keyword. It can create video scripts, materials, subtitles, and background music, and then compile them into a high-definition short video. The tool features a web interface and an API interface, supporting AI-generated video scripts, customizable scripts, multiple HD video sizes, batch video generation, customizable video segment duration, multilingual video scripts, multiple voice synthesis options, subtitle generation with font customization, background music selection, access to high-definition and copyright-free video materials, and integration with various AI models like OpenAI, moonshot, Azure, and more. The tool aims to simplify the video creation process and offers future plans to enhance voice synthesis, add video transition effects, provide more video material sources, offer video length options, include free network proxies, enable real-time voice and music previews, support additional voice synthesis services, and facilitate automatic uploads to YouTube platform.

Dough is a tool for crafting videos with AI, allowing users to guide video generations with precision using images and example videos. Users can create guidance frames, assemble shots, and animate them by defining parameters and selecting guidance videos. The tool aims to help users make beautiful and unique video creations, providing control over the generation process. Setup instructions are available for Linux and Windows platforms, with detailed steps for installation and running the app.

Ragdoll Studio is a platform offering web apps and libraries for interacting with Ragdoll, enabling users to go beyond fine-tuning and create flawless creative deliverables, rich multimedia, and engaging experiences. It provides various modes such as Story Mode for creating and chatting with characters, Vector Mode for producing vector art, Raster Mode for producing raster art, Video Mode for producing videos, Audio Mode for producing audio, and 3D Mode for producing 3D objects. Users can export their content in various formats and share their creations on the community site. The platform consists of a Ragdoll API and a front-end React application for seamless usage.

Discover Whisper-TikTok, an innovative AI-powered tool that leverages the prowess of Edge TTS, OpenAI-Whisper, and FFMPEG to craft captivating TikTok videos. Whisper-TikTok effortlessly generates accurate transcriptions from audio files and integrates Microsoft Edge Cloud Text-to-Speech API for vibrant voiceovers. The program orchestrates the synthesis of videos using a structured JSON dataset, generating mesmerizing TikTok content in minutes.

**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.