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Showing 606 open source projects for "face"
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Deploy Apps in Seconds with Cloud RunCloud Run is the fastest way to deploy containerized apps. Push your code in Go, Python, Node.js, Java, or any language and Cloud Run builds and deploys it automatically. Get fast autoscaling, pay only when your code runs, and skip the infrastructure headaches. Two million requests free per month. And new customers get $300 in free credit.
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VoxelCore
Voxel game engine in C++ with OpenGL
VoxelEngine-Cpp is a minimal voxel engine written in modern C++ using OpenGL, GLFW, and GLM, inspired by Minecraft-style block worlds. It offers a clean foundation for learning and experimenting with voxel-based rendering and world generation. With features like chunk loading, perlin noise terrain generation, and basic lighting, the engine is a perfect starting point for developers who want to create sandbox games or explore the technical aspects of 3D voxel environments. -
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huggingface_hub
The official Python client for the Huggingface Hub
The huggingface_hub library allows you to interact with the Hugging Face Hub, a platform democratizing open-source Machine Learning for creators and collaborators. Discover pre-trained models and datasets for your projects or play with the thousands of machine-learning apps hosted on the Hub. You can also create and share your own models, datasets, and demos with the community. The huggingface_hub library provides a simple way to do all these things with Python. -
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dapr
Dapr is portable, event-driven, runtime for building distributed apps
Dapr is a portable, serverless, event-driven runtime that makes it easy for developers to build resilient, stateless, and stateful microservices that run on the cloud and edge and embrace the diversity of languages and developer frameworks. Dapr codifies the best practices for building microservice applications into open, independent, building blocks that enable you to build portable applications with the language and framework of your choice. Each building block is independent and you can... -
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MediaPipe Face Detection
Detect faces in an image
The MediaPipe Face Detection model is a high-performance, real-time face detection solution that uses machine learning to identify faces in images and video streams. It is optimized for mobile and embedded platforms, offering fast and accurate face detection while maintaining a small memory footprint. This model supports multiple face detections and is highly efficient, making it suitable for a variety of applications such as augmented reality, user authentication, and facial expression analysis. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Android KeePassDX
Lightweight vault and password manager for Android
Lightweight vault and password manager for Android, KeePassDX allows editing encrypted data in a single file in KeePass format and filling in the forms in a secure way. Keep your password safe in a secure place, KeePassDX stores your database in a single encrypted file and can be copied and moved wherever you want. KeePassDX is compatible with other KeePass products, the format is standardized and allows for increased interoperability. KeePassDX is created by the community and the code is... -
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API-for-Open-LLM
Openai style api for open large language models
API-for-Open-LLM is a lightweight API server designed for deploying and serving open large language models (LLMs), offering a simple way to integrate LLMs into applications. -
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spacy-llm
Integrating LLMs into structured NLP pipelines
Large Language Models (LLMs) feature powerful natural language understanding capabilities. With only a few (and sometimes no) examples, an LLM can be prompted to perform custom NLP tasks such as text categorization, named entity recognition, coreference resolution, information extraction and more. This package integrates Large Language Models (LLMs) into spaCy, featuring a modular system for fast prototyping and prompting, and turning unstructured responses into robust outputs for various... -
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Flower
Flower: A Friendly Federated Learning Framework
...Many components can be extended and overridden to build new state-of-the-art systems. Different machine learning frameworks have different strengths. Flower can be used with any machine learning framework, for example, PyTorch, TensorFlow, Hugging Face Transformers, PyTorch Lightning, scikit-learn, JAX, TFLite, MONAI, fastai, MLX, XGBoost, Pandas for federated analytics, or even raw NumPy for users who enjoy computing gradients by hand. -
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Firefox GNOME theme
A GNOME theme for Firefox
A GNOME theme for Firefox. This theme follows lastest GNOME Adwaita style. Be aware that this theme might do things that are not supported by upstream Firefox. If you face an issue while using this theme, report it here first or test if it is reproducible in vanilla Firefox. If you are a software distribution maintainer, please do not ship these changes by default to your users unless you made it extremely clear that they are using a modified version of Firefox UI. This is a bunch of CSS code to make Firefox look closer to GNOME's native apps. ... -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Coze Studio
An AI agent development platform with all-in-one visual tools
Coze Studio is ByteDance’s open‑source, visual AI agent development platform. It offers no-code/low-code workflows to build, debug, and deploy conversational agents, integrating prompting, RAG-based knowledge bases, plugin systems, and workflow orchestration. Developed in Go (backend) and React/TypeScript (frontend), it uses a containerized microservices architecture suitable for enterprise deployment. -
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HunyuanImage-3.0
A Powerful Native Multimodal Model for Image Generation
...The model is intended to be competitive with closed-source image generation systems, aiming for high fidelity, prompt adherence, fine detail, and even “world knowledge” reasoning (i.e. leveraging context, semantics, or common sense in generation). The GitHub repo includes code, scripts, model loading instructions, inference utilities, prompt handling, and integration with standard ML tooling (e.g. Hugging Face / Transformers). -
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Qwen-Image
Qwen-Image is a powerful image generation foundation model
Qwen-Image is a powerful 20-billion parameter foundation model designed for advanced image generation and precise editing, with a particular strength in complex text rendering across diverse languages, especially Chinese. Built on the MMDiT architecture, it achieves remarkable fidelity in integrating text seamlessly into images while preserving typographic details and layout coherence. The model excels not only in text rendering but also in a wide range of artistic styles, including... -
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PyTorch Image Models
The largest collection of PyTorch image encoders / backbones
timm (PyTorch Image Models) is a premier library hosting a vast collection of state-of-the-art image classification models and backbones such as ResNet, EfficientNet, NFNet, Vision Transformer, ConvNeXt, and more. Created by Ross Wightman and now maintained by Hugging Face, it includes pretrained weights, data loaders, augmentations, optimizers, schedulers, and reference scripts for training, evaluation, inference, and model export. It's an essential toolkit for vision research and production workflows. -
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Fish Speech
SOTA Open Source TTS
...The repository hosts the code and tooling for training, fine-tuning, and serving high-quality TTS, while the current flagship models (OpenAudio-S1 and S1-mini) are distributed via Fish Audio’s playground and Hugging Face. The models are evaluated with Seed TTS metrics and achieve exceptionally low word and character error rates, indicating strong intelligibility and alignment between text and audio. Fish Speech emphasizes expressive and controllable voices: it supports a long list of emotion tags, tone markers, and special audio effect markers that can be embedded in the text to drive prosody and vocal style, from basic emotions to nuanced states like sarcastic, conciliative, or hysterical. ... -
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MemProcFS Analyzer
Automated Forensic Analysis of Windows Memory Dumps for DFIR
...It emphasizes automation and reproducibility: parsers can be chained, results exported, and reports templated to fit incident workflows. Because memory contains transient but critical traces of running malware or misuse, the project focuses on robust parsing in the face of corruption and mismatched OS versions. -
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Peinture
A general-purpose AI image generation framework that supports HF
Peinture is a sleek, dark-themed web application that brings AI-powered image generation to artists, designers, and casual creators through a modern interface built with React, TypeScript, and Tailwind CSS. Instead of tying users to a single service, Peinture integrates multiple backend providers, including Hugging Face, Gitee AI, Model Scope, and others, so you can switch between models or extend support to custom endpoints — giving you flexibility over where and how your images are generated. It not only generates images from prompts but also includes tools to edit those images after creation, with features like selection tools and reference image support that let you refine artwork in place. ... -
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Coconut
Training Large Language Model to Reason in a Continuous Latent Space
...It supports training across multiple reasoning paradigms—including standard Chain-of-Thought (CoT), no-thought, and hybrid configurations—using configurable training stages and latent representations. The repository is built with Hugging Face Transformers, PyTorch Distributed, and Weights & Biases (wandb) for logging, supporting large-scale experiments on mathematical and logical reasoning datasets such as GSM8K, ProntoQA, and ProsQA. -
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SAM 3D Body
Code for running inference with the SAM 3D Body Model 3DB
...The model is trained to be robust in diverse, in-the-wild conditions, so it handles varied clothing, viewpoints, and backgrounds while maintaining strong accuracy across multiple human-pose benchmarks. The repository provides Python code to run inference, utilities to download checkpoints from Hugging Face, and demo scripts that turn images into 3D meshes and visualizations. There are Jupyter notebooks that walk you through setting up the model, running it on example images, and visualizing outputs in 3D, making it approachable even if you are not a 3D expert. -
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Laravel wrapper for NativePHP
Laravel wrapper for the NativePHP framework
...The only limit is your imagination. You could build a menubar app that lets you manage your cron jobs, or a cool new launcher app, or a screen recorder that puts cowboy hats on every smiley-face emoji it sees. -
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KrakenD
High-performance, stateless, declarative, API Gateway written in Go.
...KrakenD also implements the Backend for Frontend and Micro-frontends patterns to eliminate the necessity of dealing with multiple REST services, isolating clients from the micro-service implementation details. KrakenD's stateless architecture and performance-first approach for every internal component beat any API Gateway in the market. Our customers with massive usage face the networking limits while KrakenD still keeps a low consumption of resources. But don't take our word for granted, do your own benchmarks. All KrakenD endpoint configuration is stored in a plain text .json configuration file. You can edit this file by hand or design your API interface visually using the KrakenDesigner. -
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Gemini-API
Reverse-engineered Python API for Google Gemini web app
...The wrapper supports streaming responses, model selection, and handling of the web-based authentication/session mechanisms used by Google’s interface. While the project offers a powerful integration, users should note that the API is reverse-engineered (not officially supported by Google) and may face changes or rate-limits. The project is licensed under AGPL-3.0, emphasizing the “open” nature but also requiring derivative works to remain open. It has a strong community following and active discussions/issue tracking around model support, error handling, and new features. -
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Tencent-Hunyuan-Large
Open-source large language model family from Tencent Hunyuan
Tencent-Hunyuan-Large is the flagship open-source large language model family from Tencent Hunyuan, offering both pre-trained and instruct (fine-tuned) variants. It is designed with long-context capabilities, quantization support, and high performance on benchmarks across general reasoning, mathematics, language understanding, and Chinese / multilingual tasks. It aims to provide competitive capability with efficient deployment and inference. FP8 quantization support to reduce memory usage... -
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Extism
The Universal Plug-in System. Extend anything with WebAssembly
...A plug-in system is software that enables your users or customers to add some logic into certain points in your application. You decide where this logic runs, and your users decide what the plug-in does. Many engineering teams face an ever-growing list of feature requests, often exceeding their bandwidth several times over. How can you ever keep up? Making your product extensible by its end-users is a great way to move some of those features outside the core, and empower customers to make your software more useful for them. -
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Easy DataSet
A powerful tool for creating datasets for LLM fine-tuning
Easy DataSet is a comprehensive open-source tool designed to make creating high-quality datasets for large language model fine-tuning, retrieval-augmented generation (RAG), and evaluation as easy and automated as possible by providing intuitive interfaces and powerful parsing, segmentation, and labeling tools. It supports ingesting domain-specific documents in a wide range of formats — including PDF, Markdown, DOCX, EPUB, and plain text — and can intelligently segment, clean, and structure... -
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Argilla
The open-source data curation platform for LLMs
...This feature uses vector search combined with traditional search (keyword and filter based). Argilla is free, open-source, and 100% compatible with major NLP libraries (Hugging Face transformers, spaCy, Stanford Stanza, Flair, etc.). In fact, you can use and combine your preferred libraries without implementing any specific interface. Most annotation tools treat data collection as a one-off activity at the beginning of each project. In real-world projects, data collection is a key activity of the iterative process of ML model development. ...
