Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Deep neural network to extract intelligent information from invoice documents.

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

Hyperparameter Experiments with TensorFlow and Keras

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

PyTorch to Keras model convertor

Introducing neural networks to predict stock prices

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

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)

sliced-rnn

A Thai word tokenization library using Deep Neural Network

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

Deep learning models for guitar amp/pedal emulation using LSTM with Keras.

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

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

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0

We proposed a novel U-Net-based model -- DC-UNet to do medical image segmentation.

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

Keras implementation of a ResNet-CAM model