5 مستودعات
Awesome GitHub RepositoriesTensorFlow.js Models
A pre-trained neural network that categorizes images into NSFW and safe content classes using TensorFlow.js.
Distinct from Image Classification Models: Distinct from Image Classification Models: specifically built with TensorFlow.js for browser and Node.js deployment, targeting NSFW content.
Explore 5 awesome GitHub repositories matching artificial intelligence & ml · TensorFlow.js Models. Refine with filters or upvote what's useful.
Awesome TensorFlow.js Models GitHub Repositories
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- tensorflow/tfjs
tensorflow/tfjs
19,134عرض على GitHubTensorFlow.js is a JavaScript machine learning library used for training and deploying models in web browsers and server-side environments. It functions as a browser-based model trainer, a WebAssembly inference engine, and a WebGPU accelerated tensor library for low-level linear algebra. The project also includes a model converter to transform Python-based models into optimized formats for JavaScript execution. The library distinguishes itself through a pluggable backend architecture that allows mathematical operations to be executed via CPU, WebGL, or WebGPU. It supports the conversion of Py
Provides pre-trained models to identify and filter adult or inappropriate visual content on the client side.
TypeScript - infinitered/nsfwjs
infinitered/nsfwjs
8,908عرض على GitHubNSFW detection on the client-side via TensorFlow.js
A pre-trained neural network that categorizes images into NSFW and safe content classes using TensorFlow.js.
TypeScriptcontent-managementjavascriptmachine-learning - yeemachine/kalidokit
yeemachine/kalidokit
5,660عرض على GitHubKalidokit is a web-based motion capture tool that transforms real-time webcam video into 3D character animation data. It functions as a blendshape and kinematics calculator, converting facial, hand, and body tracking data from Mediapipe and TensorFlow.js into blendshape weights and euler rotations for driving digital puppets and avatars. The tool solves face landmarks to derive head rotation, eye blinks, mouth shapes, and brow values for rigging, while hand landmarks are converted into finger joint rotations and body keypoints into per-joint euler rotations for full-body animation. It include
Processes real-time webcam landmark data from TensorFlow.js models into rig-ready animation parameters for avatars.
TypeScriptface-detectionhand-detectionmediapipe-facemesh - jasonmayes/real-time-person-removal
jasonmayes/Real-Time-Person-Removal
5,158عرض على GitHubReal-Time-Person-Removal هو تطبيق رؤية حاسوبية قائم على الويب مصمم لتحديد وإزالة الأشكال البشرية من بث الفيديو المباشر. باستخدام TensorFlow.js، تعمل الأداة كنظام لطرح الخلفية في الوقت الفعلي يقوم بتحليل تكوين المشهد لعزل الخلفيات الثابتة عن الأشخاص المتحركين. يمكن المشروع من إجراء رؤية حاسوبية قائمة على المتصفح من خلال معالجة خلاصات فيديو كاميرا الويب مباشرة في العميل. يستخدم التعلم الآلي للتمييز بين عناصر المشهد الديناميكية والخلفية، مما يسمح بإزالة الأشخاص في الوقت الفعلي من المجال البصري.
Uses TensorFlow.js to identify and remove people from video streams in real time.
JavaScript - webdevsimplified/face-detection-javascript
WebDevSimplified/Face-Detection-JavaScript
1,036عرض على GitHubThis project is a JavaScript library designed for real-time face detection directly within a web browser. It functions as a machine learning model wrapper that enables developers to identify and track human faces in live video streams without the need for backend server processing. The library utilizes browser-native media access to stream raw camera data into application memory, where it performs pixel-level analysis. By leveraging a tensor-based inference engine and web-assembly acceleration, the tool executes complex neural network calculations locally to achieve high-performance computer
Executes heavy mathematical operations for neural network calculations using low-level binary instructions within the browser.
JavaScript
