A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
APACHE-2.0 License
Optimize layers structure of Keras model to reduce computation time
A High-Level training API on top of PyTorch
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g...
[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresp...
In this repository, I will share some useful notes and references about deploying deep learning-b...
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
Efficientnet V2 adapted to Keras functional API.
General code to convert a trained keras model into an inference tensorflow model
Hyperparameter Experiments with TensorFlow and Keras
The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and tra...
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabli...
Header-only library for using Keras (TensorFlow) models in C++.
Keras reimplementation of EfficientNet Lite.
Create, train, and save Tensorflow Keras models all in Golang