imdeepak27 Goto Github PK

algorithm-design-and-analysis

All the basic and important algorithms in computer science using C++ language

algorithm-visualizer

:fireworks:Interactive Online Platform that Visualizes Algorithms from Code

algorithmic-trading-python

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

analyzethechat

Python based whatsapp chat analyzer

basic-of-c-and-c-

Common Programs Of C and C++

computer-graphics

Beginners Guide to Computer Graphics in C/C++, OpenGL, JavaFX

coronavirus-covid19-stocks-analysis

Coronavirus-covid19-stocks-analysis

coursera-deep-learning

Solutions to all quiz and all the programming assignments!!!

coursera-test

coursera-test repository

datasciencecoursera

Assignment

datasharing

The Leek group guide to data sharing

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning

digital-communication-systems

Digital Communication Algorithms in SciLab

email-spam-detection-python

This is a tutorial post to show how can we build a email spam detection system from scratch using Python

flask_todo_application

fullstack-course4

Example code for HTML, CSS, and Javascript for Web Developers Coursera Course

icc-2019-wc-prediction

Predicting the winner of 2019 cricket world cup using random forest algorithm

imdeepak27

java-programs

Basic Java Programs

jupyternotebooks-medium

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

machinelearning

major-project-2021---defenses-against-adversarial-images

Using adversarial images, we can trick our Convolutional Neural Networks (CNNs) into making incorrect predictions. While, according to the human eye, adversarial images may look identical to their original counterparts, they contain small perturbations that cause our CNNs to make wildly incorrect predictions. There are enormous consequences to deploying undefended models into the wild. For example, imagine a deep neural network deployed to a self-driving car. Nefarious users could generate adversarial images, print them, and then apply them to the road, signs, overpasses, etc., which would result in the model thinking there were pedestrians, cars, or obstacles when there are, in fact, none! The result could be disastrous, including car accidents, injuries, and loss of life.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

minor-project-2020-21

Deep Learning based project titled - Image Captioning . The Image Captioning Generator Model uses the combination of CNNs and RNNs(specifically LSTMs).

ml_files

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

nlp-akash

Natural Language Processing notes and implementations.

opencv

Open Source Computer Vision Library