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100-days-of-ml

These 100 days will exclusively focus on the state of the art Machine learning and Deep Learning Models and Implementation of Research papers.

100-days-of-ml-1

The aim is to revise deep learning, statistics, and learn cutting edge implementations of state of art models

7-days-of-oops

accident-detection-system-using-image-segmentation-and-machine-learning

addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

bookstore

Bookstore is Website for a virtual store which consists a colllection of 10k books rating and a search tab for the same.

byte-for-bait

Byte-for-Bait for NASA Space Apps detecting Forest Fire Using ML models and finally deploying the model on flutter and providing a personalized Bot for the same.

compliance_poc

Check for Compliance Policy Results as per Stripe's Marketing Treasury doc

converse

Conversational text Analysis using various NLP techniques

customferrariwebsite

data-set-analysis

documents_detection

eip-4.0-

EIP by Inkers.AI is based on Implementing State of the Art Models which including models for Cifar10,MNIST and Randomly Generated Dataset on Humans

face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

facial-recognition

facial-recognition-using-facenet

Implementation of facial recognition using facenets.

free-programming-books

:books: Freely available programming books

glugmvit.github.io

Official blog for GLUG MVIT

hack_2019

Hack 2019 Flutter Project

highwaysecurity

Highway Security deals with car detection using BG Substraction followed by comparing results at different locations to determine an Accident based on Count Values

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

notodolist-app

App To store your notes of what not to do :))

razorpay_hack

sanyamsingh.github.io

shala2020.github.io

Lectures and notes for a summer course on DS, ML, and AI

shala_2020

Revision Machine Learning and Working on some Notebooks

streetlights

tensorflow

An Open Source Machine Learning Framework for Everyone

the-complete-faang-preparation

This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.

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