#计算机科学#A WebGL accelerated JavaScript library for training and deploying ML models.
翻译 - 一个WebGL加速的JavaScript库，用于训练和部署ML模型。
Pretrained models for TensorFlow.js
翻译 - TensorFlow.js的预训练模型
Examples built with TensorFlow.js
翻译 - 使用TensorFlow.js构建的示例
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
翻译 - WebGL加速的ML //线性代数// JavaScript的自动微分。
NudeNet: NSFW Object Detection for TFJS and NodeJS
Demo for https://www.npmjs.com/package/tfjs-yolo-tiny
TFJS based finger pose classifier for hand landmarks detected by the MediaPipe Handpose model
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), ...
翻译 - A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]
Convert TensorFlow SavedModel and Keras models to TensorFlow.js
翻译 - 将TensorFlow SavedModel和Keras模型转换为TensorFlow.js
TensorFlow powered JavaScript library for training and deploying ML models on Node.js.
翻译 - 由TensorFlow支持的JavaScript库，用于在Node.js上训练和部署ML模型。
MoveNet: Body Segmentation for TFJS and NodeJS
BlazePose: Body Segmentation for TFJS and NodeJS
🎥🤟 8 minimalistic templates for tfjs mediapipe handpose and facemesh
A shared codebase for face-api.js and tfjs-tiny-yolov2.
WHENet - ONNX, OpenVINO, TFLite, TensorRT, EdgeTPU, CoreML, TFJS, YOLOv4/YOLOv4-tiny-3L
A WeChat MiniProgram Face AR using TensorFlow.js (TFJS) and a face landmarks detection.
WeChat Mini-program plugin for TensorFlow.js
TensorFlow.js high-level layers API
翻译 - TensorFlow.js高级层API
A package helps to quickly get the similarity/ distance between two poses estimated by tfjs Posenet.
Play MK.js with TensorFlow.js