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building-detection-maskrcnn

Building detection from the SpaceNet dataset by using Mask RCNN.

capstone

Capstone Deployment

cifar10-img-classification-tensorflow

image classification with CIFAR10 dataset w/ Tensorflow

color-classification-cnn

color recognition (convolutional neural network implemented in Keras)

deeplab_v3

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

deeplabv3-tf2.0

This project implements the SOTA image segmentation algorithm deeplab V3+ with tensorflow 2.0

dict-to-protobuf

python dictionary to protobuf message object

excercise

image-search-engine

End-to-end image search engine based on the Deep learning techniques.

installation-maskrcnn

Mask R-CNN creates a high-quality segmentation mask in addition to the Faster R-CNN network. In addition to class labels and scores, a segmentation mask is created for the objects detected by this neural network. In this repository, using Anaconda prompt step by step Mask R-CNN setup is shown.

jp_mlproject

mask-rcnn

Used MatterPort-MaskRCNN to develop an object detection model and also performed it on a video to detect the objects present in it. I have used pre-trained model.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

tensorflow_template_application

TensorFlow template application for deep learning

test

tf-serving-nodejs-client

Node.js Client for TensorFlow Serving

tfserving-python-predict-client

Client used to send grcp requests to a tfserving model

tfserving-simple-example

How to save a model for tfserving

tfx

TFX is an end-to-end platform for deploying production ML pipelines