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Showing 67 open source projects for "face"
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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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Build AI Apps with Gemini 3 on Vertex AIVertex AI gives developers access to Gemini 3—Google’s most advanced reasoning and coding model—plus 200+ foundation models including Claude, Llama, and Gemma. Build generative AI apps with Vertex AI Studio, customize with fine-tuning, and deploy to production with enterprise-grade MLOps. New customers get $300 in free credits.
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SageMaker Hugging Face Inference Toolkit
Library for serving Transformers models on Amazon SageMaker
...For the Dockerfiles used for building SageMaker Hugging Face Containers, see AWS Deep Learning Containers. The SageMaker Hugging Face Inference Toolkit implements various additional environment variables to simplify your deployment experience. The Hugging Face Inference Toolkit allows user to override the default methods of the HuggingFaceHandlerService. SageMaker Hugging Face Inference Toolkit is licensed under the Apache 2.0 License. -
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Chocolatey
Chocolatey - the package manager for Windows
...Package submissions go through a rigorous moderation review process, including automatic virus scanning. The community repository has a strict policy on malicious and pirated software. Many organizations face the ongoing challenge of deploying and supporting various versions of software. Chocolatey allows organizations to automate and simplify the management of their complex Windows environments. Our customers have experienced a massive reduction in effort, improved speed of deployment, high reliability, and comprehensive reporting. Whether you are looking to create your first package or planning to fully automate your entire Windows Lifecycle. ... -
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Gradio
Create UIs for your machine learning model in Python in 3 minutes
...A Gradio interface can automatically generate a public link you can share with colleagues that lets them interact with the model on your computer remotely from their own devices. Once you've created an interface, you can permanently host it on Hugging Face. Hugging Face Spaces will host the interface on its servers and provide you with a link you can share. One of the best ways to share your machine learning model, API, or data science workflow with others is to create an interactive demo that allows your users or colleagues to try out the demo in their browsers. -
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Layui UI
An open source Web UI component library
...Layui is different from those front-end frameworks based on the bottom layer of MVVM, but it does not go against the road, but believes in returning to the basics. To be precise, it is more for back-end developers. You don’t need to get involved in various front-end tools. You only need to face the browser itself, and let all the elements and interactions you need come from here at your fingertips. -
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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Unsloth-MLX
Bringing the Unsloth experience to Mac users via Apple's MLX framework
...This project removes traditional barriers that prevent Mac users from prototyping and experimenting with LLM training locally by allowing the same code used in cloud GPU environments to run on M-series hardware, improving workflow continuity and reducing iteration costs. It supports loading and training Hugging Face models with fine-tuning strategies like SFT, DPO, ORPO, and GRPO and even handles exporting models to formats like GGUF for downstream use, although some limitations apply with quantized models. Users can write and test training pipelines directly on macOS before scaling up, accelerating development cycles and lowering entry barriers for model refinement. -
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phpMyAdmin
A web interface for MySQL and MariaDB
...Frequently used operations (managing databases, tables, columns, relations, indexes, users, permissions, etc) can be performed via the user interface, while you still have the ability to directly execute any SQL statement. phpMyAdmin comes with a wide range of documentation and users are welcome to update our wiki pages to share ideas and howtos for various operations. The phpMyAdmin team will try to help you if you face any problem; you can use a variety of support channels to get help. phpMyAdmin is also very deeply documented in a book written by one of the developers, mastering phpMyAdmin for Effective MySQL Management, which is available in English and Spanish. Create, copy, drop, rename and alter databases, tables, fields and indexes. -
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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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ncnn
High-performance neural network inference framework for mobile
...It brings artificial intelligence right at your fingertips with no third-party dependencies, and speeds faster than all other known open source frameworks for mobile phone cpu. ncnn allows developers to easily deploy deep learning algorithm models to the mobile platform and create intelligent APPs. It is cross-platform and supports most commonly used CNN networks, including Classical CNN (VGG AlexNet GoogleNet Inception), Face Detection (MTCNN RetinaFace), Segmentation (FCN PSPNet UNet YOLACT), and more. ncnn is currently being used in a number of Tencent applications, namely: QQ, Qzone, WeChat, and Pitu. -
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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. -
Run Any Workload on Compute Engine VMsCompute Engine delivers high-performance virtual machines for web apps, databases, containers, and AI workloads. Choose from general-purpose, compute-optimized, or GPU/TPU-accelerated machine types—or build custom VMs to match your exact specs. With live migration and automatic failover, your workloads stay online. New customers get $300 in free credits.
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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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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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SYSADMIN Test Questions
A collection of Linux Sysadmin Test Questions and Answers
...The format encourages quick drills: pick a topic, answer from memory, then compare against concise explanations. Many questions highlight real-world troubleshooting patterns rather than purely theoretical trivia, reflecting what admins face daily. As an interview prep resource, it helps candidates assess breadth and identify weak spots before deeper study. For teams, it doubles as a training checklist to standardize baseline knowledge across junior and mid-level engineers. -
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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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Personal Security Checklist
A compiled checklist of 300+ tips for protecting digital security
...The repository is continuously refined by a large community, which keeps the content practical, vendor-neutral, and up to date with evolving threats and best practices. It also encourages threat modeling, matching the steps you take to the risks you actually face, so you can prioritize effectively without getting overwhelmed. -
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Akka
Build concurrent, distributed, and resilient message-driven apps
...Actors and Streams let you build systems that scale up, using the resources of a server more efficiently, and out, using multiple servers. Building on the principles of The Reactive Manifesto Akka allows you to write systems that self-heal and stay responsive in the face of failures. Up to 50 million msg/sec on a single machine. Small memory footprint; ~2.5 million actors per GB of heap. Distributed systems without single points of failure. Load balancing and adaptive routing across nodes. Event Sourcing and CQRS with Cluster Sharding. Distributed Data for eventual consistency using CRDTs. Asynchronous non-blocking stream processing with backpressure. -
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FairChem
FAIR Chemistry's library of machine learning methods for chemistry
...Tasks span heterogeneous domains—catalysis (OC20-style), inorganic materials (OMat), molecules (OMol), MOFs (ODAC), and molecular crystals (OMC)—allowing one model family to serve many simulations. The README provides quick paths for pulling models (e.g., via Hugging Face access), then running energy/force predictions on GPU or CPU. -
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Emitter
High performance, distributed, low latency publish-subscribe platform
Emitter is a real-time communication service for connecting online devices. The Publish-Subscribe messaging API is built for speed and security. The simple and efficient messaging platform for all of your gaming, IoT and web apps. Emitter can be used for online gaming and mobile apps by satisfying the requirements for low latency, binary messaging, and high throughput. It can also be used for real-time web applications such as dashboards or visual analytics or chat systems. Moreover, Emitter... -
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django-sspanel
Diango shadowsocks
...Registration adopts the invitation system to bid farewell to bad users. Unified and perfect background management interface. Perfect commodity purchase logic. Alipay face-to-face payment module. Invitation rebate system. -
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Transformers4Rec
Transformers4Rec is a flexible and efficient library
...The library works as a bridge between natural language processing (NLP) and recommender systems (RecSys) by integrating with one of the most popular NLP frameworks, Hugging Face Transformers (HF). Transformers4Rec makes state-of-the-art transformer architectures available for RecSys researchers and industry practitioners. Traditional recommendation algorithms usually ignore the temporal dynamics and the sequence of interactions when trying to model user behavior. Generally, the next user interaction is related to the sequence of the user's previous choices. ... -
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Dlib is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems.
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Face Alignment
2D and 3D Face alignment library build using pytorch
Detect facial landmarks from Python using the world's most accurate face alignment network, capable of detecting points in both 2D and 3D coordinates. Build using FAN's state-of-the-art deep learning-based face alignment method. For numerical evaluations, it is highly recommended to use the lua version which uses identical models with the ones evaluated in the paper. More models will be added soon. By default, the package will use the SFD face detector. -
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kube-monkey
An implementation of Netflix's Chaos Monkey for Kubernetes clusters
...It randomly deletes Kubernetes (k8s) pods in the cluster encouraging and validating the development of failure-resilient services. kube-monkey runs at a pre-configured hour (run_hour, defaults to 8 am) on weekdays, and builds a schedule of deployments that will face a random Pod death sometime during the same day. The time-range during the day when the random pod Death might occur is configurable and defaults to 10 am to 4 pm. kube-monkey works on an opt-in model and will only schedule terminations for Kubernetes (k8s) apps that have explicitly agreed to have their pods terminated by kube-monkey. ... -
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GFPGAN
GFPGAN aims at developing Practical Algorithms
...So that it can run in Windows or on CPU mode. GFPGAN aims at developing a Practical Algorithm for Real-world Face Restoration. It leverages rich and diverse priors encapsulated in a pretrained face GAN (e.g., StyleGAN2) for blind face restoration. Add V1.3 model, which produces more natural restoration results, and better results on very low-quality / high-quality inputs. -
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Facexlib
FaceXlib aims at providing ready-to-use face-related functions
facexlib is a PyTorch-based library providing ready-to-use face-related functions, including detection, alignment, recognition, and more. It integrates state-of-the-art open-source methods for various face processing tasks. -
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Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms
Real-ESRGAN is a highly popular open-source project that provides practical algorithms for general image and video restoration using deep learning-based super-resolution techniques. It extends the original Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) approach by training on synthetic degradations to make results more robust on real-world images, effectively enhancing resolution, reducing noise/artifacts, and reconstructing fine detail in low-quality imagery. The...
