Name: M Vineeth
Type: User
Company: Bennett University, Greater Noida
Bio: Upcoming SDE @ Amazon | Ex-Intern @ ZS | Learning something new everyday π―
Twitter: vineethm1627
Location: Ghaziabad, Uttar Pradesh
Blog: vineethm.netlify.app
M Vineeth's Projects
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Keras code and weights files for popular deep learning models.
Deep Image Inpainting using UNET like Vanilla Autoencoder and Partial Convolution based Autoencoder.
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
Roadmap to becoming a web developer in 2020
Lab Assignments for AI and ML Core Course Semester 5
Lab Assignments for this Course Sem-05
Lab Assignments for Deep Learning Elective Course, Semester 5
Face mask detection system using Deep learning.
Facial Expression Recognition Classifier Model - Final Project for Technocolabs
Forcous : Estimating Unit Sales of Walmart Retail Goods
The source repository is at https://github.com/full-stack-deep-learning/fsdl-text-recognizer
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Machine Learning Online Session Material
Image Denoising using AutoEncoders in Keras
Search Query Information Stacker using High Performance Computing
Mask R-CNN model trained on coco dataset for Instance Segmentation using PixelLib
Participating in JavaScript30 course created by @wesbos
A YOLOv2 model to detect helmets and persons with/without helmets.
Image Segmentation using K-Means Clustering
This is a repository containing the list of company wise questions available on leetcode premium
simple project using HTML and CSS
ML Online Course Repository. Course videos on online.codingblocks.com
Small scale machine learning projects to understand the core concepts
Deployment of ML and DL Projects
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Deployment of streamlit application using heroku
My-Voice Analysis is a Python library for the analysis of voice (simultaneous speech, high entropy) without the need of a transcription. It breaks utterances and detects syllable boundaries, fundamental frequency contours, and formants.
Links and resources for strengthening the concepts of Object Oriented Programming [Java and C++]