Name: M Vineeth
Type: User
Company: Bennett University, Greater Noida
Bio: Upcoming SDE @ Amazon | Ex-Intern @ ZS | Learning something new everyday 💯
Twitter: vineethm1627
Location: Ghaziabad, Uttar Pradesh
Blog: vineethm.netlify.app
M Vineeth's Projects
Made for the software engineering lab assignment
Final Project for Deep Learning Bootcamp [dphi.tech]
Simple Mathematical Addition Operation using Recurrent Neural Network
It is a repository that is a collection of algorithms and data structures with implementation in various languages.
Contains STL algoritms from some popular languages.
This repo contains annotated research papers that I found really good and useful
Anomaly Detection in Time Series Data using LSTM Autoencoders in Keras
World Quant University, Unit I: Scientific Computing and Python for Data Science.
A Data Engineering & Machine Learning Knowledge Hub
A curated list of deep learning image classification papers and codes
A curated list of references for MLOps
Preparation for AWS Certified Cloud Practitioner.
Deployment of The Streamlit application on heroku
Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥
CodeQuotient SuperCoders Program
A complete computer science study plan to become a software engineer.
This repository consists of all the material required for cracking the coding rounds and technical interviews during placements.
This project is for those who want to start working with OpenCV for Computer Vision projects. You will learn Object Tracking with OpenCV and Python. At the end of this project, you will know how Optical and Dense Optical Flow works, how to use the MeanShift and the CamShift and you will be able to do a Single Object Tracking and a Multi-Object Tracking.
Repo for leadingindia mentorship
My Data Structures and Algorithms preparation for Placements.
Course Repository for C++ STL Course
Basic HTML site as a part of Web Development Bootcamp [Angela Yu]
Cheat Sheets
Top 10 in MachineHack | Top 80 in AnalyticsVidya & Zindi | Hack AI
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Contains Implementation of selected Data Structures and Algorithms which are important for the interview preparations
Course Repository for Course - Data Structures in Real Life (Projects)
DataCamp: 1) Data Scientist with Python 2) Data Analyst with Python 3) Data Analyst with SQL Server 4) Machine Learning Scientist with Python
The best library for implementation of all Data Structures and Algorithms - Trees + Graph Algorithms too!
Generating synthetic images of Fashion MNIST data using Deep Convolutional Generative Adversarial Networks [DCGAN]
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent