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.
Unofficial implementation of MobileNetV3 architecture described in paper Searching for MobileNetV3.
🛠 Mask R-CNN Keras to Tensorflow and TFX models + Serving models using TFX GRPC & RESTAPI
基于tf.keras的多标签多分类模型
Transformer-based models implemented in tensorflow 2.x(using keras).
YOLOv4 Implemented in Tensorflow 2.0. Convert YOLO v4 .weights to .pb and .tflite format for tensorflow and tensorflow lite.
Simple stochastic weight averaging callback for Keras
A variational autoencoder for volumetric shape generation
Modern Deep Network Toolkits for Tensorflow-Keras. This is a extension for newest tensorflow 1.x.
Implementation of https://arxiv.org/pdf/1512.03385.pdf
Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder structure with deep supervision (—𝘜𝘕𝘦𝘵++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.
tensorflow.keras implementation of gradcam and gradcam++
人脸检测bbox+landmark,使用 tensorflow.keras 训练MTCNN
Text emotion classification using keras(Tensorflow)
A generalized autoencoder for volumetric shape generation
Refactored Mask R-CNN for object detection and instance segmentation on TensorFlow 2.
Tensorflow Algorithm and Layer Implementations.
Neural Style Transfer using Colab TPUs by TensorFlow/Keras.
tf-keras-implemented YOLOv3
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