absa_lstm-crf

This model deals with the fine grained sentiment analysis, more precisely, Aspect Based Sentiment Analysis, with the applications of Neural Networks. Recurrent Neural networks of the type Bi Directional Long Short Term Memory are used with the blend of Conditional Random Fields. This model is on the par with all the state of art techniques which are recently devised or invented in the field of Sentiment Analysis.

babel

Ribbon Babel

cifar-10_classification

Applying concepts of deep learning to classify CIFAR-10 dataset of 10 category of images by using CNN (Keras).

cppexamples

Examples of C++ Programs to help out Beginners

django-graphql

em-cart

go-blockchain

go-concurrency

Go concurrency from https://rbbn.udemy.com/course/concurrency-in-go-golang/learn/lecture/22006546#overview

handwritten-digit-recognition-through-ann-keras-

Applying concepts of deep learning to classify MNIST hand written digit data set by using ANN.

imad-app

Base repository for IMAD course application.

leetcode

linear_regression_on_housing_data

mern-exercise-app

ml-ai_class

nn-assignment-1

sentimentanalysis-imdb-

Using RNN and LSTM to extract sentiments from the IMDB movie review dataset with sentiment attached label of '0' for any negative sentiment for review and '1' for any positive sentiment for review.

sorting_visualizer

tcpclient-tcpserver

techbison

todoapp