LoopBack makes it easy to build modern API applications that require complex integrations.

YOLOv3: Convert .weight to tflite mlmodel onnx keras pytorch

YOLOv3 for iOS implemented using CoreML.

Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.

这个工程实现了在android中使用tflite实现yolov3的darknet53和yolov3-tiny,我的tensorflow版本是tfnightly1.1320181224

a YOLOv3 implementation to detect flowers based on existing https://github.com/ultralytics/yolov3

Abseil Common Libraries (Python)

A Hyperparameter Tuning Library for Keras

YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving

Multi-class confusion matrix library in Python

Curated list of awesome GAN applications and demo

Supervisor process control system for Unix (supervisord)

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Generate embeddings from large-scale graph-structured data.

Tensorflow serving for darkflow (darknet, YOLO)

🍻 awesome cheatsheet

Machine Learning from scratch with R, Python and Matlab

Multi-column Deep Convolutional Neural Networks for Image Classification (Tensorflow)

Tensorflow input pipeline template

Generic implementation for clustering with deep learning : representation learning (DNN) + clustering

Predict the net rate of bike renting

Precursor microRNA Identification Using Deep Convolutional Neural Networks

Install keras and tensorflow based on cuda 9.0 using docker (python3) and ubuntu1604. Tutorial for installing CUDA driver

Deployment of TensorFlow models into production with TensorFlow Serving, Docker, Kubernetes and Microsoft Azure