MiKaPo is a web-based tool that allows users to pose MMD models in real-time using video input. It utilizes technologies such as Mediapipe for 3D key points detection, Babylon.js for 3D scene rendering, babylon-mmd for MMD model viewing, and Vite+React for the web framework. Users can upload videos and images, select different environments, and choose models for posing. MiKaPo also supports camera input and Ollama (electron version). The tool is open to feature requests and pull requests, with ongoing development to add VMD export functionality.

Stakgraph is a source code parser that utilizes treesitter, LSP, and neo4j to create software knowledge graphs for AI agents. It supports various languages such as Golang, React, Ruby on Rails, Typescript, Python, Swift, Kotlin, Rust, Java, Angular, and Svelte. Users can parse repositories, link endpoints, requests, and E2E tests, and ingest data to generate comprehensive graphs. The tool leverages the Language Server Protocol for node connections in the graph, enabling seamless integration and analysis of codebases.

QMedia is an open-source multimedia AI content search engine designed specifically for content creators. It provides rich information extraction methods for text, image, and short video content. The tool integrates unstructured text, image, and short video information to build a multimodal RAG content Q&A system. Users can efficiently search for image/text and short video materials, analyze content, provide content sources, and generate customized search results based on user interests and needs. QMedia supports local deployment for offline content search and Q&A for private data. The tool offers features like content cards display, multimodal content RAG search, and pure local multimodal models deployment. Users can deploy different types of models locally, manage language models, feature embedding models, image models, and video models. QMedia aims to spark new ideas for content creation and share AI content creation concepts in an open-source manner.

Airi is a VTuber project heavily inspired by Neuro-sama. It is capable of various functions such as playing Minecraft, chatting in Telegram and Discord, audio input from browser and Discord, client side speech recognition, VRM and Live2D model support with animations, and more. The project also includes sub-projects like unspeech, hfup, Drizzle ORM driver for DuckDB WASM, and various other tools. Airi uses models like whisper-large-v3-turbo from Hugging Face and is similar to projects like z-waif, amica, eliza, AI-Waifu-Vtuber, and AIVTuber. The project acknowledges contributions from various sources and implements packages to interact with LLMs and models.

Painting Droid is an AI-powered cross-platform painting app inspired by MS Paint, expandable with plugins and open. It utilizes various AI models, from paid providers to self-hosted open-source models, as well as some lightweight ones built into the app. Features include regular painting app features, AI-generated content filling and augmentation, filters and effects, image manipulation, plugin support, and cross-platform compatibility.

Tensor Fusion is a state-of-the-art GPU virtualization and pooling solution designed to optimize GPU cluster utilization. It offers features like fractional virtual GPU, remote GPU sharing, GPU-first scheduling, GPU oversubscription, GPU pooling, monitoring, live migration, and more. The tool aims to enhance GPU utilization efficiency and streamline AI infrastructure management for organizations.

DeepMesh is an auto-regressive artist-mesh creation tool that utilizes reinforcement learning to generate high-quality meshes conditioned on a given point cloud. It offers pretrained weights and allows users to generate obj/ply files based on specific input parameters. The tool has been tested on Ubuntu 22 with CUDA 11.8 and supports A100, A800, and A6000 GPUs. Users can clone the repository, create a conda environment, install pretrained model weights, and use command line inference to generate meshes.

ChatTTS is a generative speech model optimized for dialogue scenarios, providing natural and expressive speech synthesis with fine-grained control over prosodic features. It supports multiple speakers and surpasses most open-source TTS models in terms of prosody. The model is trained with 100,000+ hours of Chinese and English audio data, and the open-source version on HuggingFace is a 40,000-hour pre-trained model without SFT. The roadmap includes open-sourcing additional features like VQ encoder, multi-emotion control, and streaming audio generation. The tool is intended for academic and research use only, with precautions taken to limit potential misuse.

This project aims to create a RESTful API server compatible with the OpenAI API using open-source backends like llama/llama2. With this project, various GPT tools/frameworks can be compatible with your own model. Key features include: - **Compatibility with OpenAI API**: The API server follows the OpenAI API structure, allowing seamless integration with existing tools and frameworks. - **Support for Multiple Backends**: The server supports both llama.cpp and pyllama backends, providing flexibility in model selection. - **Customization Options**: Users can configure model parameters such as temperature, top_p, and top_k to fine-tune the model's behavior. - **Batch Processing**: The API supports batch processing for embeddings, enabling efficient handling of multiple inputs. - **Token Authentication**: The server utilizes token authentication to secure access to the API. This tool is particularly useful for developers and researchers who want to integrate large language models into their applications or explore custom models without relying on proprietary APIs.

SoM-LLaVA is a new data source and learning paradigm for Multimodal LLMs, empowering open-source Multimodal LLMs with Set-of-Mark prompting and improved visual reasoning ability. The repository provides a new dataset that is complementary to existing training sources, enhancing multimodal LLMs with Set-of-Mark prompting and improved general capacity. By adding 30k SoM data to the visual instruction tuning stage of LLaVA, the tool achieves 1% to 6% relative improvements on all benchmarks. Users can train SoM-LLaVA via command line and utilize the implementation to annotate COCO images with SoM. Additionally, the tool can be loaded in Huggingface for further usage.

DB-GPT is a personal database administrator that can solve database problems by reading documents, using various tools, and writing analysis reports. It is currently undergoing an upgrade. **Features:** * **Online Demo:** * Import documents into the knowledge base * Utilize the knowledge base for well-founded Q&A and diagnosis analysis of abnormal alarms * Send feedbacks to refine the intermediate diagnosis results * Edit the diagnosis result * Browse all historical diagnosis results, used metrics, and detailed diagnosis processes * **Language Support:** * English (default) * Chinese (add "language: zh" in config.yaml) * **New Frontend:** * Knowledgebase + Chat Q&A + Diagnosis + Report Replay * **Extreme Speed Version for localized llms:** * 4-bit quantized LLM (reducing inference time by 1/3) * vllm for fast inference (qwen) * Tiny LLM * **Multi-path extraction of document knowledge:** * Vector database (ChromaDB) * RESTful Search Engine (Elasticsearch) * **Expert prompt generation using document knowledge** * **Upgrade the LLM-based diagnosis mechanism:** * Task Dispatching -> Concurrent Diagnosis -> Cross Review -> Report Generation * Synchronous Concurrency Mechanism during LLM inference * **Support monitoring and optimization tools in multiple levels:** * Monitoring metrics (Prometheus) * Flame graph in code level * Diagnosis knowledge retrieval (dbmind) * Logical query transformations (Calcite) * Index optimization algorithms (for PostgreSQL) * Physical operator hints (for PostgreSQL) * Backup and Point-in-time Recovery (Pigsty) * **Continuously updated papers and experimental reports** This project is constantly evolving with new features. Don't forget to star ⭐ and watch 👀 to stay up to date.

GPUStack is an open-source GPU cluster manager designed for running large language models (LLMs). It supports a wide variety of hardware, scales with GPU inventory, offers lightweight Python package with minimal dependencies, provides OpenAI-compatible APIs, simplifies user and API key management, enables GPU metrics monitoring, and facilitates token usage and rate metrics tracking. The tool is suitable for managing GPU clusters efficiently and effectively.

Nyxtext is a text editor built using Python, featuring Custom Tkinter with the Catppuccin color scheme and glassmorphic design. It follows a modular approach with each element organized into separate files for clarity and maintainability. NyxText is not just a text editor but also an AI-powered desktop application for creatives, developers, and students.

DriveLM is a multimodal AI model that enables autonomous driving by combining computer vision and natural language processing. It is designed to understand and respond to complex driving scenarios using visual and textual information. DriveLM can perform various tasks related to driving, such as object detection, lane keeping, and decision-making. It is trained on a massive dataset of images and text, which allows it to learn the relationships between visual cues and driving actions. DriveLM is a powerful tool that can help to improve the safety and efficiency of autonomous vehicles.

ChatGPT Tarot Divination is a tool that offers AI fortune-telling and divination functionalities. Users can download the executable installation package, deploy it using Docker, and run it locally. The tool supports various divination methods such as Tarot cards, birth charts, name analysis, dream interpretation, naming suggestions, and more. It allows customization through setting API base URL and key, and provides a user-friendly interface for easy usage.

The KAN-GPT repository is a PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling. It provides a model for generating text based on prompts, with a focus on improving performance compared to traditional MLP-GPT models. The repository includes scripts for training the model, downloading datasets, and evaluating model performance. Development tasks include integrating with other libraries, testing, and documentation.

AI Commits is a plugin for IntelliJ-based IDEs and Android Studio that generates commit messages using git diff and OpenAI. It offers features such as generating commit messages from diff using OpenAI API, computing diff only from selected files and lines in the commit dialog, creating custom prompts for commit message generation, using predefined variables and hints to customize prompts, choosing any of the models available in OpenAI API, setting OpenAI network proxy, and setting custom OpenAI compatible API endpoint.

MiKaPo is a web-based tool that allows users to pose MMD models in real-time using video input. It utilizes technologies such as Mediapipe for 3D key points detection, Babylon.js for 3D scene rendering, babylon-mmd for MMD model viewing, and Vite+React for the web framework. Users can upload videos and images, select different environments, and choose models for posing. MiKaPo also supports camera input and Ollama (electron version). The tool is open to feature requests and pull requests, with ongoing development to add VMD export functionality.

AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition, Body Segmentation

This repository contains a C++ application that demonstrates face recognition capabilities using computer vision techniques. The demo utilizes OpenCV and dlib libraries for efficient face detection and recognition with 3D passive face liveness detection (face anti-spoofing). Key Features: Face detection: The SDK utilizes advanced computer vision techniques to detect faces in images or video frames, enabling a wide range of applications. Face recognition: It can recognize known faces by comparing them with a pre-defined database of individuals. Age estimation: It can estimate the age of detected faces. Gender detection: It can determine the gender of detected faces. Liveness detection: It can detect whether a face is from a live person or a static image.

FaceAPI is an AI-powered tool for face detection, rotation tracking, face description, recognition, age, gender, and emotion prediction. It can be used in both browser and NodeJS environments using TensorFlow/JS. The tool provides live demos for processing images and webcam feeds, along with NodeJS examples for various tasks such as face similarity comparison and multiprocessing. FaceAPI offers different pre-built versions for client-side browser execution and server-side NodeJS execution, with or without TFJS pre-bundled. It is compatible with TFJS 2.0+ and TFJS 3.0+.

DeepSparkHub is a repository that curates hundreds of application algorithms and models covering various fields in AI and general computing. It supports mainstream intelligent computing scenarios in markets such as smart cities, digital individuals, healthcare, education, communication, energy, and more. The repository provides a wide range of models for tasks such as computer vision, face detection, face recognition, instance segmentation, image generation, knowledge distillation, network pruning, object detection, 3D object detection, OCR, pose estimation, self-supervised learning, semantic segmentation, super resolution, tracking, traffic forecast, GNN, HPC, methodology, multimodal, NLP, recommendation, reinforcement learning, speech recognition, speech synthesis, and 3D reconstruction.

FaceAiSharp is a .NET library designed for face-related computer vision tasks. It offers functionalities such as face detection, face recognition, facial landmarks detection, and eye state detection. The library utilizes pretrained ONNX models for accurate and efficient results, enabling users to integrate these capabilities into their .NET applications easily. With a focus on simplicity and performance, FaceAiSharp provides a local processing solution without relying on cloud services, supporting image-based face processing using ImageSharp. It is cross-platform compatible, supporting Windows, Linux, Android, and more.

Symposium2023 is a project aimed at enabling Delphi users to incorporate AI technology into their applications. It provides generalized interfaces to different AI models, making them easily accessible. The project showcases AI's versatility in tasks like language translation, human-like conversations, image generation, data analysis, and more. Users can experiment with different AI models, change providers easily, and avoid vendor lock-in. The project supports various AI features like vision support and function calling, utilizing providers like Google, Microsoft Azure, Amazon, OpenAI, and more. It includes example programs demonstrating tasks such as text-to-speech, language translation, face detection, weather querying, audio transcription, voice recognition, image generation, invoice processing, and API testing. The project also hints at potential future research areas like using embeddings for data search and integrating Python AI libraries with Delphi.

Awesome-AIGC-3D is a curated list of awesome AIGC 3D papers, inspired by awesome-NeRF. It aims to provide a comprehensive overview of the state-of-the-art in AIGC 3D, including papers on text-to-3D generation, 3D scene generation, human avatar generation, and dynamic 3D generation. The repository also includes a list of benchmarks and datasets, talks, companies, and implementations related to AIGC 3D. The description is less than 400 words and provides a concise overview of the repository's content and purpose.

3D content creation tools.

CushyStudio is a generative AI platform designed for creatives of any level to effortlessly create stunning images, videos, and 3D models. It offers CushyApps, a collection of visual tools tailored for different artistic tasks, and CushyKit, an extensive toolkit for custom apps development and task automation. Users can dive into the AI revolution, unleash their creativity, share projects, and connect with a vibrant community. The platform aims to simplify the AI art creation process and provide a user-friendly environment for designing interfaces, adding custom logic, and accessing various tools.

Dream Textures is a tool integrated into Blender that allows users to create textures, concept art, background assets, and more using simple text prompts. It offers features like seamless texture creation, texture projection for entire scenes, restyling animations, and running models on the user's machine for faster iteration. The tool supports CUDA and Apple Silicon GPUs, with over 4GB of VRAM recommended. Users can troubleshoot issues by checking Blender's system console or seeking help from the community on Discord.

Headwind Simulations A339X - A330-900neo is an open-source project aimed at creating a free Airbus A330-900neo for Microsoft Flight Simulator. The project is based on the FlyByWire System A32NX and offers a detailed simulation of the A330-941 model with various components like engines, FMS, ACAS, ATC, and more. Users can build the aircraft using Docker and node modules, and the package can be easily integrated into MSFS. The project is part of a collaborative effort with other open-source projects contributing to the aircraft's systems, cockpit, sound, and 3D parts. The repository is dual-licensed under GNU GPLv3 for textual-form source code and CC BY-NC 4.0 for artistic assets, ensuring proper usage and attribution of the content.

MiKaPo is a web-based tool that allows users to pose MMD models in real-time using video input. It utilizes technologies such as Mediapipe for 3D key points detection, Babylon.js for 3D scene rendering, babylon-mmd for MMD model viewing, and Vite+React for the web framework. Users can upload videos and images, select different environments, and choose models for posing. MiKaPo also supports camera input and Ollama (electron version). The tool is open to feature requests and pull requests, with ongoing development to add VMD export functionality.

uDesktopMascot is an open-source project for a desktop mascot application with a theme of 'freedom of creation'. It allows users to load and display VRM or GLB/FBX model files on the desktop, customize GUI colors and background images, and access various features through a menu screen. The application supports Windows 10/11 and macOS platforms.

DeepMesh is an auto-regressive artist-mesh creation tool that utilizes reinforcement learning to generate high-quality meshes conditioned on a given point cloud. It offers pretrained weights and allows users to generate obj/ply files based on specific input parameters. The tool has been tested on Ubuntu 22 with CUDA 11.8 and supports A100, A800, and A6000 GPUs. Users can clone the repository, create a conda environment, install pretrained model weights, and use command line inference to generate meshes.