vineethm1627
Upcoming SDE @ Amazon | Ex-Intern @ ZS | Learning something new everyday 💯
Bennett University, Greater NoidaGhaziabad, Uttar Pradesh
Pinned Repositories
Algo_Ds_Notes
It is a repository that is a collection of algorithms and data structures with implementation in various languages.
BinaryClassification_heroku
Deployment of The Streamlit application on heroku
CPP
My Data Structures and Algorithms preparation for Placements.
DCGAN-Fashion-MNIST
Generating synthetic images of Fashion MNIST data using Deep Convolutional Generative Adversarial Networks [DCGAN]
Image-Denoising-AE
Image Denoising using AutoEncoders in Keras
InfoGeeks
Search Query Information Stacker using High Performance Computing
instance_segmentation
Mask R-CNN model trained on coco dataset for Instance Segmentation using PixelLib
OOP
Links and resources for strengthening the concepts of Object Oriented Programming [Java and C++]
pepcoding_solutions
Pepcoding Level-1 and Level-2 Solutions in C++
SDE_Sheet_Striver
C++ Solutions of 180 Questions [30 Days] of Strivers SDE Sheet , YouTube Channel TAKEUFORWARD (Raj Vikramaditya bhaiyaa)
vineethm1627's Repositories
vineethm1627/SDE_Sheet_Striver
C++ Solutions of 180 Questions [30 Days] of Strivers SDE Sheet , YouTube Channel TAKEUFORWARD (Raj Vikramaditya bhaiyaa)
vineethm1627/OOP
Links and resources for strengthening the concepts of Object Oriented Programming [Java and C++]
vineethm1627/CPP
My Data Structures and Algorithms preparation for Placements.
vineethm1627/InfoGeeks
Search Query Information Stacker using High Performance Computing
vineethm1627/pepcoding_solutions
Pepcoding Level-1 and Level-2 Solutions in C++
vineethm1627/BinaryClassification_heroku
Deployment of The Streamlit application on heroku
vineethm1627/portfolio
Version 2 of Portfolio Website
vineethm1627/SEM6_Labs
Semester 6 Labs: CPP, HPC and Cloud Computing
vineethm1627/semantic_segmentation
deeplabv3+ model trained on pascal voc dataset for Semantic Image Segmentation using PixelLib
vineethm1627/vineethm1627
vineethm1627/Anomaly-Detection
Anomaly Detection in Time Series Data using LSTM Autoencoders in Keras
vineethm1627/CodeQuotient
CodeQuotient SuperCoders Program
vineethm1627/Computer_Vision
Repo for leadingindia mentorship
vineethm1627/DataStructures-Algorithms
The best library for implementation of all Data Structures and Algorithms - Trees + Graph Algorithms too!
vineethm1627/demo-self-driving
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
vineethm1627/Forcous
Forcous : Estimating Unit Sales of Walmart Retail Goods
vineethm1627/instance_segmentation
Mask R-CNN model trained on coco dataset for Instance Segmentation using PixelLib
vineethm1627/kmeans_segmentation
Image Segmentation using K-Means Clustering
vineethm1627/Image-Denoising-AE
Image Denoising using AutoEncoders in Keras
vineethm1627/around-dataengineering
A Data Engineering & Machine Learning Knowledge Hub
vineethm1627/aws-ccp-prep
Preparation for AWS Certified Cloud Practitioner.
vineethm1627/Complete-Placement-Preparation
This repository consists of all the material required for cracking the coding rounds and technical interviews during placements.
vineethm1627/cv
Basic HTML site as a part of Web Development Bootcamp [Angela Yu]
vineethm1627/Data-Science-Hackathon-And-Competition
Top 10 in MachineHack | Top 80 in AnalyticsVidya & Zindi | Hack AI
vineethm1627/Data-Structures-and-Algorithms
Contains Implementation of selected Data Structures and Algorithms which are important for the interview preparations
vineethm1627/project-based-learning
Curated list of project-based tutorials
vineethm1627/Segmentation
vineethm1627/SnowFlake
Certification : Snowflake ❄️ WebUI Essentials
vineethm1627/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
vineethm1627/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks