srihari-humbarwadi/DeepLabV3_Plus-Tensorflow2.0

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Created almost 6 years ago
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srihari-humbarwadi/DeepLabV3_Plus-Tensorflow2.0

srihari-humbarwadi

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DeepLabV3+ implemented in TensorFlow2.0

Architecture

Trained weights

trained weights

Outputs

To Do

Implement distributed training using tf.distribute.MirroredStrategy
Implement data input pipeline using tf.data.Dataset
Train on cityscapes
Implement modified Xception backbone as originally mentioned in the paper

person_segmentation_tf2.0

Using deepLabv3+ to segment humans

YOLOv1-TensorFlow2.0

A tensorflow2.0 implementation of the YOLOv1 paper https://arxiv.org/pdf/1506.02640

Jupyter Notebook

retinanet-tensorflow2.x

TensorFlow2.x implementation of RetinaNet

Jupyter Notebook

cityscapes-segmentation-with-Unet

Multiclass image segmentation in Keras

Jupyter Notebook

image_colorization_gan_tf2.0

A TensorFlow2.0 implementation of https://arxiv.org/abs/1803.05400

Jupyter Notebook

tpu_index

TPU index is a package for fast similarity search over large collections of high dimension vectors on TPUs

Keras-Unet

Keras Unet model trained on Mapillary Vistas

Jupyter Notebook

deep_metric_learning_tf2.0

A tensorflow2.0 implementation of triplet loss with online hard mining strategy

Jupyter Notebook

TensorRT-for-keras

Optimizing keras models using Nvidia TensorRT

tensorflow_retinanet

A simplified implementation of RetinaNet from https://arxiv.org/pdf/1708.02002.pdf using TF2.0

Jupyter Notebook

FastFCN_TF2.0

TensorFlow2.0 implementation FastFCN - https://arxiv.org/pdf/1903.11816v1.pdf

Jupyter Notebook

ssd_tensorflow

A TensorFlow2.x implementation of Single Shot MultiBox Detector

adain-tensorflow2.x

TensorFlow2.x implementation of Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Jupyter Notebook

Vehicle-Color-Recognition-using-Convolutional-Neural-Network

Keras implementation of https://arxiv.org/abs/1510.07391

tensorflow_fcos

FCOS: Fully Convolutional One-Stage Object Detection

Jupyter Notebook

cartoon_gan_tf2.0

A DCGAN implementation in tensorflow 2.0, trained on cartoonset100k dataset

Jupyter Notebook

ransomware-detection-with-deep-learning

Detecting ransomware delivery with DNNs

tensorflow2.0_notebooks

exploring new tensorflow 2.0 API

Jupyter Notebook

srgan_tensorflow

TensorFlow2.x implementation of Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

ResNet34-tensorflow-2.0

Multiworker distributed training with tensorflow2.0

Jupyter Notebook

tf_cv_tutorials

Building computer vision models with TensorFlow2.x

Jupyter Notebook

person-segmentation-keras

Unet implementation using transpose convolutions in Keras

Jupyter Notebook

crnn_ocr_keras

keras ocr using crnn and ctc loss

Jupyter Notebook

tf-gsoc-2021

Final Submission for GSoC 20201

Neural-machine-translation-with-attention

Tensorflow2.0 implementation of neural machine translation with Bahdanau attention

Jupyter Notebook

RefineNet-Multi-Path-Refinement-Networks-for-High-Resolution-Semantic-Segmentation

Keras implementation of https://arxiv.org/abs/1611.06612

ENet-A-Deep-Neural-Network-Architecture-for-Real-Time-Semantic-Segmentation

Keras implementation of https://arxiv.org/abs/1606.02147

TF2.x_XLA_AMP

Training with XLA compilation and Mixed Precision Training with TF2.x

Jupyter Notebook

pix2line

Go from images to object boundaries with segmentation maps

rl_algorithms

Implementations of algorithms discussed in the book Reinforcement Learning: An Introduction

shapes_dataset

A small dataset to quickly test your object detection models

Jupyter Notebook

keras-reverse-image-search

Performs reverse image search using DCNN as feature extractor

Jupyter Notebook

maskrcnn_demo

calculating pixel-wise accuracy for maskrcnn outputs

Jupyter Notebook

signature_matching

Matching signatures with siamese networks implemented in tensorflow keras

Jupyter Notebook

convolutional-autoencoder

Jupyter Notebook

automatic-image-captioning-with-CNN-LSTM-networks

seq2seq model for automatic image captioning

Jupyter Notebook

vgg_normalized

VGG with normalized weights

LinkNet-Exploiting-Encoder-Representations-for-Efficient-Semantic-Segmentation

Keras implementation of https://arxiv.org/abs/1707.03718

datasets

srihari-humbarwadi

qat_tensorflow2.x

Quantization Aware Training for Tensorflow2.x

tpu_models

Tutorials for implementing and training Deep Learning models on Google Cloud TPU with TensorFlow2.x