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A Tensorflow-based framework to ease the training of generative models
computer-vision generative-adversarial-networks tensorflow deep-learning
TTT: Fine-tuning Transformers with TPUs or GPUs acceleration
TTT is short for a package for fine-tuning 🤗 Transformers with TPUs, written in Tensorflow2.0+.
natural-language-processing transformers tensorflow-tpus code
Object Detection with RetinaNet
Implementing RetinaNet: Focal Loss for Dense Object Detection.
object-detection retinanet keras tensorflow
YOLOv4 With TensorFlow
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite.
object-detection yolo yolov4 yolov4-tiny
Tensorflow Fourier Feature Mapping Networks
Tensorflow 2.0 implementation of fourier feature mapping networks.
fourier-transformations tensorflow code paper
Keras Debugging Tips
Four simple tips to help you debug your Keras code.
debugging tensorflow keras tutorial
CNN Explainer
CNN Explainer uses TensorFlow.js, an in-browser GPU-accelerated deep learning library to load the pretrained model for visualization.
convolutional-neural-networks tensorflow-js interactive interpretability
Customizing What Happens in Fit()
How to leverage the convenient features of fit() with a custom training loop.
tensorflow keras training tutorial
End-to-end Object Detection in TensorFlow Lite
This project shows how to train a custom detection model with the TFOD API, optimize it with TFLite, and perform inference with the optimized model.
object-detection tensorflow tensorflow-lite computer-vision
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