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#python #ai #ai_deep_fake #ai_face #ai_webcam #artificial_intelligence #deep_fake #deepfake #deepfake_webcam #faceswap #fake_webcam #real_time_deepfake #realtime_deepfake #realtime_face_changer #video_deepfake #webcam #webcamera

Deep Live Cam is a powerful tool that allows you to perform real-time face swaps and create video deepfakes with just a single click and one image. It's designed to help artists animate custom characters or use them as models for clothing, among other tasks. The software includes built-in checks to prevent processing inappropriate content and requires users to obtain consent before using someone's face.

You can easily download and use the pre-built version with CUDA support, or manually install it if you have technical skills. The tool offers features like resizable preview windows, face mapping, and various command line arguments for customization. It also supports different execution providers like CUDA, CoreML, and DirectML for optimized performance.

Using Deep Live Cam responsibly and legally is crucial; always label any output as a deepfake when sharing online. This tool simplifies complex tasks and enhances creativity, making it beneficial for artists and content creators who need advanced face swapping capabilities.

https://github.com/hacksider/Deep-Live-Cam
#python #deeplabv3 #image_segmentation #medical_image_segmentation #pspnet #pytorch #realtime_segmentation #retinal_vessel_segmentation #semantic_segmentation #swin_transformer #transformer #vessel_segmentation

MMSegmentation is an open-source semantic segmentation toolbox based on PyTorch, part of the OpenMMLab project. It offers a unified benchmark for various semantic segmentation methods, a modular design allowing easy customization, and support for multiple popular segmentation frameworks like PSPNet and DeepLabV3+. The toolbox is highly efficient and provides detailed tutorials, advanced guides, and support for numerous datasets and backbones. This makes it a powerful tool for researchers and developers to implement and develop new semantic segmentation methods efficiently. By using MMSegmentation, you can leverage its flexibility, extensive features, and community support to enhance your projects in image segmentation tasks.

https://github.com/open-mmlab/mmsegmentation
#typescript #ai #alternative #auth #database #deno #embeddings #example #firebase #nextjs #oauth2 #pgvector #postgis #postgres #postgresql #postgrest #realtime #supabase #vectors #websockets

Supabase is an open-source alternative to Firebase, built using enterprise-grade tools. It offers a hosted Postgres database, authentication and authorization, auto-generated APIs (REST, GraphQL, and realtime subscriptions), functions, file storage, and an AI toolkit. You can use it without installing anything or self-host it. Supabase supports multiple programming languages and has a strong community for support and discussions. This means you get powerful database and application features similar to Firebase but with the flexibility and transparency of open-source software, which can be more customizable and cost-effective.

https://github.com/supabase/supabase
#typescript #airtable #airtable_alternative #app_builder #database #internal_tool #low_code #no_code #nocode #postgres #postgresql #realtime #spreadsheet #sqlite

Teable is a powerful, no-code database system built on Postgres that offers a simple, spreadsheet-like interface. It allows you to create complex database applications quickly and efficiently, without worrying about data security or scalability. Here are the key benefits Teable processes millions of data points quickly and supports real-time collaboration.
- **User-Friendly** You can view data in various formats such as grid, form, Kanban, gallery, and calendar views.
- **Full SQL Support** You have control over your data, whether it's in the cloud or on-premise.
- **Developer Friendly**: It supports extensions and automation, making it easy for both non-tech users and developers to work with.

Overall, Teable makes app development faster and easier while ensuring your data is secure and scalable.

https://github.com/teableio/teable
#python #agent #ai #asr #cpp #gemini #golang #gpt_4 #gpt_4o #llm #low_latency #multimodal #nextjs14 #openai #python #rag #real_time #realtime #tts #vision #voice_assistant

The TEN Agent is a powerful tool that helps you create and manage AI agents with various capabilities like real-time vision, screen detection, and integration with services like Google Gemini Multimodal Live API, Weather Check, and Web Search. To use it, you need to set up your environment with Docker, Node.js, and specific API keys. You can follow simple steps to configure and start your agent locally. The benefits include easy integration of advanced AI features, a supportive community through Discord and GitHub discussions, and the ability to customize and extend your agents with ready-to-use extensions. This makes it easier to develop and deploy sophisticated AI applications quickly.

https://github.com/TEN-framework/TEN-Agent
#rust #actor #actors #bevy #cloudflare_durable_objects #deno #durable_objects #foundationdb #game_development #godot #multiplayer #partykit #realtime #rust #serverless #unreal_engine

Rivet helps you build and scale real-time applications easily. It has features like Remote Procedure Calls (RPC), automatic state management, and real-time event handling. Rivet actors can scale automatically to handle large numbers of users and reduce latency by running close to your users. It also includes built-in monitoring, supports data localization, and is powered by reliable technologies like Rust and FoundationDB. This makes it easier and more efficient to develop collaborative applications, game servers, chat apps, and more. You can get started quickly with their easy installation guides and various deployment options.

https://github.com/rivet-gg/rivet
#java #analytics #big_data #cloudnative #database #datalake #delta_lake #distributed_database #hudi #iceberg #join #lakehouse #lakehouse_platform #mpp #olap #real_time_analytics #real_time_updates #realtime_database #sql #star_schema #vectorized

StarRocks is a very fast query engine for analyzing data quickly, even in just a second. It works 3 times faster than other similar tools and doesn't require you to move or change your data. Here are some key benefits:
- It uses advanced technology to speed up queries.
- It supports standard SQL and works with various clients and BI software.
- It optimizes complex queries efficiently.
- It allows real-time updates and direct access to data from different sources.
- It manages resources well and is easy to maintain and scale.

Using StarRocks can help you analyze data much faster and more efficiently, making your work easier and quicker.

https://github.com/StarRocks/starrocks