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avship

Code to recognise the type of ship in the image.

backpropagation-algorithms

This repo contains mplementations of several backpropagation algoritms such as GD, MinibatchGD, Momentum, NAG, Adagrad, RMSProp and Adam in vectorized versions.

backpropagation-without-library

Implemented gradient descent algorithm from scratch. (Both Scalar and Vectorized versions).

bert_sentimentanalysis

captcharecognition

Captcha Recognition on Pytorch with CRNN + CTC loss

cnn

Some toy codes of CNN

data-visualization

All chapters of data visualization

data_analytics

Analytics using R

east

A tensorflow implementation of EAST text detector

generic-neural-net

This is a generic neural net code buit with no library, that can be used for both binary and multi-class classification. You'll have provision to choose even the optimizer!!

hands-on-reinforcement-learning-with-python

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

housepriceprediction

Contains house price prediction using several regression techniques - linear, lasso, ridge, SVR and my own implementation of LinearRegressor class!

hypothesis-tests

1 sample and 2 sample t-tests on sample data.

imageenhancer

melanoma_classifier

Code for classifying melanoma skin cancer

my-notes

my_codings

neural_style_transfer

Code for neural style transfer

neuralnetwork-class

General neural network class for binary/multi-class classification.

python_basics

Basic python programming practice.

rasa-x-helm

Rasa X Helm chart for deploying on Kubernetes (K8s) and OpenShift.

rnn

Some toy codes of RNN

rule-based-sentiment-analyzer

Rule based sentiment analyzer using TwitterAPI to scrape data from twitter.

seam-carving

sigmoid-neuron

My own sigmoid neuron class for binary classification.

sigmoid-neuron-tutorial

This is the code for sigmoid neuron tutorial

text_no_text-classification

Neural network to identify if the image has text or not.

tf.estimator

Codes from learn with google ai

transliteration

visualizations

Univariate and bivariate visualizations using pandas, matplotlib and seaborn.