H K vamshidhar's Projects
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 Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! π)
This is the version of auto_ml DoorDash uses in production. For up-to-date documentation and the latest stable release (the one installed using `pip install`) please visit:
Automated machine learning for analytics & production
AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Homework from the deeplearning.ai Deep Learning Specialization on Coursera (Completed)
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Repository is to maintain the artifacts and codes for demo purposes
Cheat Sheets
Repo made as a Coursera student
For Coursera Johns Hopkins data science class
Open Source Data Science Resources.
The Leek group guide to data sharing
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Plotting Assignment 1 for Exploratory Data Analysis
Cousera specialization: Getting and Cleaning Data Course week 4 Project
This for Git actions
things I learnt about git hub
simple gaussian mixture models for demonstration purposes
A proof-of-concept jupyter extension which converts english queries into relevant python code
Kube-router, a turnkey solution for Kubernetes networking.
I will adding things that I learned in python
Logistic regression from scratch in Python
An example of how to create a simple self-developed Logistic Regression from scratch in Python
Assignments of "Machine Learning Engineering for Production (MLOps) Specialization" by Coursera (https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops)