TensorFlow2 Implementation for Wasserstein GAN
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Updated
Dec 7, 2019 - Jupyter Notebook
TensorFlow2 Implementation for Wasserstein GAN
This Repo containes the implemnetation of DenseVent in tensorflow 2.0 for chest-abdomen-pelvis (CAP) Segmentation
NLP learning notes, including classic papers, algorithm implementations, modeling tricks, and notes.
Tensorflow 2 Object Detection API Tutorial. This tutorial will take you from installation, to running pre-trained detection model, and training your model with a custom dataset, then exporting it for inference.
This repo contains Grad-CAM for 3D volumes.
Plate reading network based on the LPRNet network written in Tensorflow 2.0
This is a portfolio repository that will track my deep learning progress in it's early phases.
The codes for recent knowledge distillation algorithms and benchmark results via TF2.0 low-level API
Unofficial StyleGAN2 implementation with Tensorflow 2.2
👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
(Re)implementations of NNs in Keras from Scratch.
TensorFlow2 Implementation for vanilla GAN for generating MNIST
TensorFlow2 Implementation for DCGAN
TensorFlow2 Implementation for VAE for generating MNIST
🧠 BPCAPooling, a custom pooling method that performs dimensionality reduction without loss of spatial information.
Real-time object detection system utilizing the SSD MobileNet V2 FPNLite 320x320 model for high-speed, efficient recognition.
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