sambhav37 Goto Github PK

apache-solr-

This application shows you the integration of apache solr with Javascript "solr-node" api. For providing a GUI based environment express.js is used on top of JS.

augmented-random-search

Augmented Random Search is truly one of the most mindblowing algorithms I’ve come across with my research in reinforcement learning. Augmented Random Search(ARS) is actually up to 15 TIMES FASTER than other algorithms with higher rewards in specific applications! That’s insane!

azure-ml

Step by step guide for connecting your IDE to your Azure Account for Auto ML development on Microsoft Azure

ball-tracking-algorithm

Ball tracking algorithm using OpenCV

barcode-scanner-

This application runs simply with a command "python app.py".

case_study

chatserver

cnn-keras

Keras CNN model for classifying pokemons

competency-management-app

cp_template

Competitive Programming Template.

dbt-tutorial

face-detection

Real Time Face detection algorithm using convolutional neural networks and OpenCV.

face-recognition-using-opencv-and-svm

flutter_ecom_app

hashing-image-search-engine

Searching duplicate and near duplicate images using a hashing algorithm and VP trees.

hlf-fabric-api-master

Hyperledger Fabric node modules. All four

hlf-model

This is the implementation of an organization having two peers, one orderer, one CA and CouchDB for an airline company.

hlf-ui-development-master

Hyperledger fabric UI development.

iampawan

Pawan Kumar Portfolio

image-segmentation-using-opencv-and-cnn-master

Image Segmentation Code. Reusable in developing CNNs.

kafka-streams-real-time-stream-processing

This is the central repository for all materials related to Kafka Streams : Real-time Stream Processing! Book by Prashant Pandey.

keras-learning-rate-finder

An algorithm to find an optimal decay for Gradient Descent and Learning Rate for training of Neural Network models.

mask-r-cnn

Explaining the differences between traditional image classification, object detection, semantic segmentation, and instance segmentation is best done visually. When performing traditional image classification our goal is to predict a set of labels to characterize the contents of an input image (top-left). Object detection builds on image classification, but this time allows us to localize each object in an image. The image is now characterized by: Bounding box (x, y)-coordinates for each object An associated class label for each bounding box.Instance segmentation algorithms, on the other hand, compute a pixel-wise mask for every object in the image, even if the objects are of the same class label (bottom-right). Here you can see that each of the cubes has their own unique color, implying that our instance segmentation algorithm not only localized each individual cube but predicted their boundaries as well.

maven-project

Source code for James Lee's Jenkins course

meals_flutter_app

miscellaneous

Scripts and code examples. Includes Spark notes, Jupyter notebook examples for Spark, Impala and Oracle.

openapi-generator

OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)

ossrh-78492

personal_expense_app

project_subh