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20 search results found

Yolov5 ⭐ 44,755

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Pinto_model_zoo ⭐ 3,121

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), EdgeTPU, CoreML.

Yolov5 Lite ⭐ 1,975

🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~

Optimum ⭐ 1,908

🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools

Yolov5_magic ⭐ 486

YOLO Magic🪄 is an extension based on Ultralytics' YOLOv5, designed to provide more powerful functionality and simpler operations for visual tasks.

Exporters ⭐ 463

Export Hugging Face models to Core ML and TensorFlow Lite

Modelassistant ⭐ 268

Seeed SenseCraft Model Assistant is an open-source project focused on embedded AI. 🔥🔥🔥

Openvino2tensorflow ⭐ 262

This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the

Pytorch Onnx Tflite ⭐ 225

Conversion of PyTorch Models into TFLite

Pytorch to Keras/Tensorflow conversion made intuitive

Yolov5_ros ⭐ 111

A complete ROS interface for running YOLOv5 inference

Onnx_tflite_yolov3 ⭐ 65

A Conversion tool to convert YOLO v3 Darknet weights to TF Lite model (YOLO v3 PyTorch > ONNX > TensorFlow > TF Lite), and to TensorRT (YOLO v3 Pytorch > ONNX > TensorRT).

Torch2tflite ⭐ 37

PyTorch to TensorFlow Lite converter

Infery Examples ⭐ 28

A collection of demo-apps and inference scripts for various deep learning frameworks using infery (Python).

Dl Benchmark ⭐ 21

Deep Learning Inference benchmark. Supports Intel® Distribution of OpenVINO™ Toolkit, Caffe, TensorFlow, TensorFlow Lite, ONNX Runtime, OpenCV DNN, MXNet, PyTorch and Apache TVM

Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.

Hand Gesture Recognition Using Onnx ⭐ 14

This is a hand gesture recognition program that replaces the entire MediaPipe process with ONNX. Simultaneous detection of multiple palms and a simple tracker are additionally implemented. In addition, a simple MLP can learn and recognize gestures.

Running Pre-trained Machine Learning Model in Godot.

Irislandmarks.pytorch ⭐ 13

PyTorch implementation of Google's Mediapipe Iris Landmark model. The original code uses TFLite and their mediapipe workflow, which wouldn't work well with my codebase.

Transformers Android Demo ⭐ 11

📲 Transformers android examples (Tensorflow Lite & Pytorch Mobile)

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