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automatic_damage_assesment_of_vehicles

This project is an attempt to develop a solution where the damage assessment could be done automatically through images for passenger vehicles

car-damage-intensity-detection

The dataset contains 3 folders containing images which describes the intensity of damages as minor , moderate and severe accordingly. The task was to analyse and explore the different feature extraction techniques along with classifiers to check upon the performance of the system. Hereby I worked with 3 different types of approaches to tackle the task

computer-vision

data_folder

this contains all the data required for project in this github

datasets

contains small datasets for experimentation purposes

deep-learning-specialization-andrew-ng-deeplearning.ai-coursera

end_to_end_ml_with_mlflow

end_to_end_project

end_to_end_using_mlops

This is a end to end project implementation using mlops

explore-computer-vision

:camera: :computer: OpenCV 3.1.0 + Python mini-projects using Ubuntu 14.04 LTS and Odroid-XU4

generative_ai

generative_ai_codebooks

This repository contains all the codes related to langchain , llamaindex and openai. I will keep on updating as in when I keep on reading more documents

gittutorial

grab_ai_for_sea

This project focusses on automatic car recognition which was build using pretrained models

hand-sign-detection-using-cnn

Hand Signs corresponding to digits 0 to 5 are detected using CNN . The programs are being written in Tensorflow

housing-prices-of-boston-dataset

This project explores the power of a predictive model that has been trained and tested over the boston housing data set

image-resolution-enhancement-using-gans

This project takes a low resolution images and tries to generate a high resolution images which looks as realistic as possible. This is achieved by using GANs.

image_similarity

The objective of the project is that given a query image, it will find 3 most similar image from the given image directory

layer-wise-training-of-nn-using-tensorflow

linear-regression---predict-the-salary-of-the-person-according-to-experience

mlflow

This repo contains all the material required to understand how to track your experiments using MLflow

mlflow_tutorial2

mlflow_tutorial3

mlops_deeplearning

This project is an end to end implementation of a deep learning project using MLOPS

mlproject_data

multiple-linear-regresssion---investing-on-companies-depending-on-thier-various-parameters

opencv

Open Source Computer Vision Library

pdf_reader

personal

prediciting-google-stock-prices-using-lstm

In this project we will try to predict the stock price of Google using LSTM. Though the future stock price does not depend on the past, but we can observe some trend. We will try to predict the upward and downward trend that exist in Google stocks and this would be done using LSTM (a special case of RNN's). We are going to implement a robust LSTM with stacked layers. We are also going to add drop outs and regularizers to avoid overfitting.