Introduction to Deep Neural Networks with Keras and Tensorflow

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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

Deep neural network to extract intelligent information from invoice documents.

Cloud ML Engine is now a part of AI Platform

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

High Quality Monocular Depth Estimation via Transfer Learning

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

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

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

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

Music recommender using deep learning with Keras and TensorFlow

sliced-rnn

Introducing neural networks to predict stock prices

A Thai word tokenization library using Deep Neural Network

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

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

Photographing Chinese-Address OCR implemented using CTPN+CTC+Address Correction. 拍照文档中文地址文字识别。

🧪 Monitor PyTorch & TensorFlow model training on mobile phones

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

Keras implementation of a ResNet-CAM model

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

Примеры для курса "Программирование глубоких нейронных сетей на Python"

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

Distributed Keras Engine, Make Keras faster with only one line of code.

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