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airstack-examples

Example Code for AirStack

asl-ml-immersion

This repos contains notebooks for the Advanced Solutions Lab: ML Immersion

chatgptpromptengineering

ChatGPT Prompt Engineering class from DeepLearning.AI

cheat-sheets

Developer Cheatsheets

cnn-registration

A image registration method using convolutional neural network features.

codellama

Inference code for CodeLlama models

computer-vision-with-embedded-machine-learning

containerize-your-apps-with-docker-and-kubernetes

Containerize your Apps with Docker and Kubernetes, published by Packt

coursera-dl

Script for downloading Coursera.org videos and naming them.

courses

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

cs231n.github.io

Public facing notes page

cvat

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

d2l-en

Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

d6t-python

Accelerate data science

d6tflow

Python library for building highly effective data science workflows

datasciencecoursera

Data Science toolbox

datasharing

The Leek group guide to data sharing

datatable

Simple data table

ddp

Developing data products

ddp-assignmnet

Developing data products - assignment

deep-learning-illustrated

Deep Learning Illustrated (2020)

deep-learning-with-r-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning.ai-notes

These are my personal notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

demospring5-webflux-rest

Spring framewrok guru course project

developing_data_products

Developing Data Products Course from the Johns Hopkins Data Science Lab

di-demo-assignement

dlaicourse

Notebooks for learning deep learning

docker-cheat-sheet

Docker Cheat Sheet

evidently

Interactive reports to analyze machine learning models during validation or production monitoring.

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis