This repositry tries to include some very simple and basic state of the art Neural Networks implemented in Keras and Tensorflow.

DL course assignments

Text Generation using LSTM Architecture

To ensure social distancing protocol in public places and workplace, I've developed a social distancing detection tool that can monitor if people are keeping a safe distance from each other or not by analysing real time video streams from the camera.

This repository contains a comprehensive Python script for building and training an Artificial Neural Network (ANN) model to predict customer churn using customer data. The code includes extensive data preprocessing steps, such as scaling, one-hot encoding, and visualization, to ensure the model's accuracy and effectiveness.

Some image augmentation tools for yolov5 (and probably other models)

The detection of tumours in the breast depends on segmentation techniques. Segmentation plays a significant role in image analysis and includes detection, feature extraction, classification, and treatment. Segmentation helps physicians quantify the volume of tissue in the breast for treatment planning.

Example Projects and their solutions in field of Artificial Intelligence with using python

To predict bitcoin price with ARIMA, prophet rolling, LSTM, and Gradient Boost models

Tools to convert Caffe models to neon's serialization format

Udacity Self Driving Car Nanodegree - Behavioral Cloning

【内功修炼场】Standard、LeetCode、SwordOffer、Machine Learning

simple machine learning to infer rotation order from a matrix and Euler angles

Projects of the deep learning course

DeepLearning

Implementation of Various Architectures.

Applying the deep learning HAN architecture to solve a multi-target graph regression problem.

Deep Learning Algorithms implemented from scratch using Numpy

This repository is created as part of Neural Networks and Deep Learning course at my college. This repo contains the implementations of Neural Network and Deep Learning algorithms.