Simple (and unsafe) TensorFlow Inception-ResnetV2 Demo with Flask
APACHE-2.0 License
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Implementation of Open-Set Likelihood Maximization for Few-Shot Learning
Template https://makesense.ai inference server. Use your pre-trained model to automate annotation...
Objective of this repo is to explain training process for tf2 and various state-of-the-art object...
Expose tensorflow-lite models via a rest API using FastAPI
[4-5 FPS / Core m3 CPU only] [11 FPS / Core i7 CPU only] OpenVINO+DeeplabV3+LattePandaAlpha/Lapto...
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
Implementation of UNet by Tensorflow Lite. Semantic segmentation without using GPU with Raspberry...
Keras implementation of RetinaNet object detection.
Tutorial on running keras model in C++ and python tensorflow
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment ...
Tensorflow experimentation sandbox. VGG, ResNet, Inception V3, Inception V4, Inception-Resnet-V2 ...
[CVPR2020] Adversarial Latent Autoencoders
Use any TensorFlow model in a single line of code
A flexible, high-performance serving system for machine learning models
PyTorch models and training code for 'Planet: Understanding the Amazon from Space' Kaggle