Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
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Updated
Jan 13, 2024 - Python
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Deep neural network to extract intelligent information from invoice documents.
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)
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
We proposed a novel U-Net-based model -- DC-UNet to do medical image segmentation.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
Keras implementation of a ResNet-CAM model
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
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