In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
深度学习TensorFlow2入门指南。Deep Learning TensorFlow2 API and Examples with Python3 and Jupyter Notebook.
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
A curated list of dedicated resources and applications
Create, train, and save Tensorflow Keras models all in Golang
How to use TensorLayer
Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresp...
Deep learning codes and projects using Python
ncnn is a high-performance neural network inference framework optimized for the mobile platform
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...
Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlo...
A collection of computer vision pre-trained models.
TensorFlow and Deep Learning Tutorials
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...