SAI RITHVIK KANAKAMEDALA's Projects
This repository contains all the required resources regarding the 100+ Days Of ML Code Telgram Group which was driven by me from 1-1-2019 to 31-12-2019 !!
500 AI Machine learning Deep learning Computer vision NLP Projects with code
This repo contains annotated research papers that I found really good and useful
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Cascade Cup is an all India Data Science Hackathon organized by Consulting and Analytics Club, IIT Guwahati and Trell.
Source files for community contribution repo for EDAV Fall 2022 Tues/Thurs
Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/
Bookdown source files for EDAV final project
Computer vision
Using CNN to classify COVID infected chest X-rays from normal chest X-rays.
CS 542 (Deep Learning Class Challenge - Boston University)
Coding Blocks | Data Structures & Algorithms Online Track
An interactive deep learning book with code, math, and discussions, based on the NumPy interface.
Check this page for daily updates
This is a repo with links to everything you'd ever want to learn about data engineering
List of Data Science and Machine Learning Resource that I frequently use
👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
This repository contains Data Structures and Algorithms
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.
Repository for all eBooks/PDFs for data science in Python/R
Contains material used in EE2001 (Jan-May 2019) course, taught by Prof. Ananth Krishnan (Theory), Prof. T.G. Venkatesh (Theory) and Prof. Vinita Vasudevan (Lab).