Generic and easy-to-use serving service for machine learning models
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Jan 3, 2021 - JavaScript
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savedmodel
Here are 13 public repositories matching this topic...
A tutorial of building tensorflow serving service from scratch
python java docker deep-learning text-classification tensorflow grpc bert tensorflow-serving savedmodel
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Jul 5, 2023 - C++
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.
python cpp tensorflow example numpy intel cnn mnist how-to convolution python-extension custom-kernel numpy-capi savedmodel openvino model-optimizer custom-layer model-conversion model-generation
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Aug 18, 2021 - Python
Lightweight tool that generates Go structures and Tensorflow inference execution code from SavedModel
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Apr 27, 2020 - Go
Merging Models for TensorFlow Serving HOT UPDATING
python deep-learning tensorflow tensorflow-models tensorflow-serving grpc-server serving tensorflow-graph tensorflow-solutions savedmodel
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Oct 14, 2022 - Python
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Nov 22, 2022 - JavaScript
Our Little Tools
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Jul 26, 2021 - Stylus
Example how to deploy your TensorFlow model in production using the Tensorflow-serving
python docker machine-learning deployment tensorflow numpy docker-image linear-regression prediction tensorflow-tutorials tensorflow-experiments tensorflow-models tensorflow-serving tensorflow-examples tensorflow-model tensorflow-graph savedmodel
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Jan 31, 2019 - Python
Image classification project using machine learning, CNN, and transfer learning. Includes model training and deployment examples with TensorFlow Lite (TFLite), TensorFlow SavedModel, and TensorFlow.js (TFJS). This repository provides scripts, models, and deployment guides for easy integration.
python machine-learning computer-vision deep-learning tensorflow cnn image-classification transfer-learning model-deployment savedmodel tflite tensorflow-js
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Aug 29, 2024 - Jupyter Notebook
Demo on performing multiclass image classification using Convolutional Neural Network (CNN) in Tensorflow 2. Techniques such as earlystopping, batchnormalizing and dropout are explored to prevent overfitting
tensorflow dropout vgg convolutional-layers tensorboard convolutional-neural-networks cifar10 cnn-classification savedmodel earlystopping tensorflow2 batchnormalization
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Jul 25, 2021 - Jupyter Notebook
Fire Detection TFOD 2.0
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Oct 20, 2021 - Jupyter Notebook
text classification, text to emotions notebook 🎨
python notebook text-classification tensorflow keras ipynb rnn rnn-tensorflow savedmodel tflite text-to-emotion
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Nov 7, 2023 - Jupyter Notebook
Angular webapp to demo minst-cnn inference
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Sep 13, 2018 - TypeScript
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