M Vineeth's repositories
SDE_Sheet_Striver
C++ Solutions of 180 Questions [30 Days] of Strivers SDE Sheet , YouTube Channel TAKEUFORWARD (Raj Vikramaditya bhaiyaa)
pepcoding_solutions
Pepcoding Level-1 and Level-2 Solutions in C++
BinaryClassification_heroku
Deployment of The Streamlit application on heroku
Anomaly-Detection
Anomaly Detection in Time Series Data using LSTM Autoencoders in Keras
CodeQuotient
CodeQuotient SuperCoders Program
Computer_Vision
Repo for leadingindia mentorship
DataStructures-Algorithms
The best library for implementation of all Data Structures and Algorithms - Trees + Graph Algorithms too!
demo-self-driving
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
instance_segmentation
Mask R-CNN model trained on coco dataset for Instance Segmentation using PixelLib
kmeans_segmentation
Image Segmentation using K-Means Clustering
semantic_segmentation
deeplabv3+ model trained on pascal voc dataset for Semantic Image Segmentation using PixelLib
Image-Denoising-AE
Image Denoising using AutoEncoders in Keras
around-dataengineering
A Data Engineering & Machine Learning Knowledge Hub
aws-ccp-prep
Preparation for AWS Certified Cloud Practitioner.
Complete-Placement-Preparation
This repository consists of all the material required for cracking the coding rounds and technical interviews during placements.
cv
Basic HTML site as a part of Web Development Bootcamp [Angela Yu]
Data-Science-Hackathon-And-Competition
Top 10 in MachineHack | Top 80 in AnalyticsVidya & Zindi | Hack AI
Data-Structures-and-Algorithms
Contains Implementation of selected Data Structures and Algorithms which are important for the interview preparations
project-based-learning
Curated list of project-based tutorials
SnowFlake
Certification : Snowflake ❄️ WebUI Essentials
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks