GitHub topics: model-optimizer
Adlik/Adlik
Adlik: Toolkit for Accelerating Deep Learning Inference
Language: C++ - Size: 52.9 MB - Last synced at: 23 days ago - Pushed at: over 1 year ago - Stars: 799 - Forks: 82

dkurt/openvino_pytorch_layers 📦
How to export PyTorch models with unsupported layers to ONNX and then to Intel OpenVINO
Language: C++ - Size: 85 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 27 - Forks: 12

Otien0/Intel-Edge-AI-Foundation-course-
This includes the basics of AI at the Edge, leverage pre-trained models available with the Intel® Distribution of OpenVINO Toolkit™, convert and optimize other models with the Model Optimizer, and perform inference with the Inference Engine.
Language: Jupyter Notebook - Size: 199 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

mrb987/autooptimizer
autooptimizer is a python package for optimize machine learning algorithms.
Language: Python - Size: 115 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

MrEliptik/Keras_to_TF_NCS2
Keras to Tensorflow test for Neural Compute Stick 2
Language: Python - Size: 5.46 MB - Last synced at: 8 days ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 5

yas-sim/openvino-model-division-and-simple-custom-layer
Demonstrates how to divide a DL model into multiple IR model files (division) and introduce a simplest way to implement a custom layer works with OpenVINO IR models.
Language: Python - Size: 135 KB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 12 - Forks: 1

bethusaisampath/YOLOv5_Openvino
YOLOv5 inferencing using Intel Openvino toolkit
Language: Python - Size: 620 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 3

bethusaisampath/YOLOs_OpenVINO
Latest YOLO models inferencing using Intel Openvino toolkit
Language: Python - Size: 13 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 14 - Forks: 2

Adlik/model_optimizer_tf
Model optimizer used in Adlik.
Language: Python - Size: 223 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 39 - Forks: 6

yvgupta03/AI_MobileNet_Image-Classification
AI based image classification inspired MobileNet V2 architecture by implementing changes in base architecture and details about using it as a quick response model (proposition) for rapid application as well as comparing it with other models for the same application.
Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

defi0x1/face-recognition-serving
Serving Face Detection and Recognition Based on arc-face
Language: Python - Size: 10.5 MB - Last synced at: 7 days ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

vuiseng9/openvino-ubuntu
Set up and run OpenVINO in Docker Ubuntu Environment on Intel CPU with Integrated Graphics
Language: Shell - Size: 4.02 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 7 - Forks: 2

likholat/openvino_quantization
This sample shows how to convert TensorFlow model to OpenVINO IR model and how to quantize OpenVINO model.
Language: Python - Size: 13.7 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

polarbeargo/Intel-Edge-AI-Scholarship-Foundation-Course-Nanodegree-Program-Show-Case-Group-Project
Language: Jupyter Notebook - Size: 123 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 1

Valderas7/TFM-MovidiusNCS
Trabajo Fin de Máster: Estudio comparativo de un clasificador de imágenes en Raspberry Pi, de forma que se compara el tiempo de la inferencia en la Raspberry Pi con y sin el Neural Compute Stick (NCS). También se estudia como la complejidad de una red neuronal repercute en el tiempo de inferencia y se analiza si los tiempos obtenidos con el NCS en la Raspberry Pi se igualan a los conseguidos por la CPU del portátil y a los de una GPU de Google Colab.
Language: Jupyter Notebook - Size: 24.5 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

Develop-Packt/Using-OpenVINO-and-OpenCV
Explore the OpenVINO toolkit, focusing on components like model zoo, inference engine, and model optimizer, and how they can be used to perform deep learning and computer vision tasks.
Language: Jupyter Notebook - Size: 18.3 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1

underflow101/ai-zipper
ai-zipper offers numerous AI model compression methods, also it is easy to embed into your own source code
Language: Python - Size: 5.86 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

KnightWhoSayNi/openvino-tf-to-ir
Dockerfile for converting a frozen Tensorflow model to OpenVINOâ„¢ Intermediate Representation (IR) using Model Optimizer (MO)
Language: Dockerfile - Size: 4.88 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 1
