There are 43 repositories under keras-tensorflow topic.
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.
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
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
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
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
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.
Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)
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.
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
Photographing Chinese-Address OCR implemented using CTPN+CTC+Address Correction. 拍照文档中文地址文字识别。
Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"
该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。
We proposed a novel U-Net-based model -- DC-UNet to do medical image segmentation.
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
Примеры для курса "Программирование глубоких нейронных сетей на Python"
Keras implementation of a ResNet-CAM model
Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
Deep learning models for guitar amp/pedal emulation using LSTM with Keras.
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
Detect fire in images using neural nets