srihari-humbarwadi/keras-reverse-image-search

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Created about 6 years ago
Updated about 6 years ago

srihari-humbarwadi/keras-reverse-image-search

srihari-humbarwadi

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Performs reverse image search using DCNN as feature extractor

DeepLabV3_Plus-Tensorflow2.0

DeepLabV3+ implemented in TensorFlow2.0

Jupyter Notebook

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

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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

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maskrcnn_demo

calculating pixel-wise accuracy for maskrcnn outputs

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signature_matching

Matching signatures with siamese networks implemented in tensorflow keras

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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