vamshi-dhar Goto Github PK

artificial-intelligence-deep-learning-machine-learning-tutorials

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! 😀)

auto_ml

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:

auto_ml-1

Automated machine learning for analytics & production

autogbt

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.

cdls

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

coursera-deeplearning-specialization

Homework from the deeplearning.ai Deep Learning Specialization on Coursera (Completed)

coursera-machine-learning-engineering-for-prod-mlops-specialization

Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

data-engineering

Repository is to maintain the artifacts and codes for demo purposes

data-science--cheat-sheet

Cheat Sheets

datasciencecoursera

Repo made as a Coursera student

datasciencecoursera-1

For Coursera Johns Hopkins data science class

datascienceresources

Open Source Data Science Resources.

datasharing

The Leek group guide to data sharing

deeplearning.ai-summary

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.

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

getting-and-cleaning-data-course-project

Cousera specialization: Getting and Cleaning Data Course week 4 Project

git_actions_flipkart

This for Git actions

git_hub

things I learnt about git hub

gmm-python

simple gaussian mixture models for demonstration purposes

health-insurance-marketplace

homomorphic-encryption

jupyter-text2code

A proof-of-concept jupyter extension which converts english queries into relevant python code

kube-router

Kube-router, a turnkey solution for Kubernetes networking.

linux_is_my_friend

I will adding things that I learned in python

logisticregression

Logistic regression from scratch in Python

logisticregression-using-gradient-descent

An example of how to create a simple self-developed Logistic Regression from scratch in Python

machine-learning-engineering-for-production-mlops-specialization

Assignments of "Machine Learning Engineering for Production (MLOps) Specialization" by Coursera (https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops)

machine_learning

A few machine learning scripts