keras-tensorflow

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Introduction to Deep Neural Networks with Keras and Tensorflow

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Deep neural network to extract intelligent information from invoice documents.

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples

High Quality Monocular Depth Estimation via Transfer Learning

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

增值税发票OCR识别，使用flask微服务架构，识别type：增值税电子普通发票，增值税普通发票，增值税专用发票；识别字段为：发票代码、发票号码、开票日期、校验码、税后金额等

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

PyTorch to Keras model convertor

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

Introducing neural networks to predict stock prices

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

Music recommender using deep learning with Keras and TensorFlow

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.