khileshchauhan Goto Github PK

learn-wdl

Educational materials for learning WDL

learndatascience

Open Content for self-directed learning in data science

learning-bioinformatics-at-home

resources for learning bioinformatics

learning-cloud

List of resources - courses, sample code, articles and screencasts for learning AWS, Azure, GCP and Alibaba Cloud

learning-codespaces

Index of content to learn to use GitHub Codespaces

learning-design-patterns

Code to go along with the presentation "Design Patterns: Not Just for Architects"

learning-ethical-ai

Resources to learn how to implement ethical AI

learning-hadoop-and-spark

Companion to Learning Hadoop and Learning Spark courses on Linked In Learning

learning-quantum

Study resources for learning quantum computing

learning-spark

Example code from Learning Spark book

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

legacy-docs

Project-wide documentation.

letsencrypt-aws

lint-checks

A set of opinionated and useful lint checks

liquibase

Main Liquibase Source

livy

Livy is an open source REST interface for interacting with Apache Spark from anywhere

log4shell-test-exploit

Test exploit of CVE-2021-44228

logdevice

Distributed storage for sequential data

lstm-attention-based-generative-chat-bot

Personified Generative Chatbot using RNNs (LSTM) & Attention in TensorFlow

machete

Cut through the Crap, with Machete, a text parser, object mapper, and query engine.

machine-learning

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

machine-learning-for-telecommunications

A base solution that helps to generate insights from their data. The solution provides a framework for an end-to-end machine learning process including ad-hoc data exploration, data processing and feature engineering, and modeling training and evaluation. This baseline will provide the foundation for industry specific data to be applied and models created to release industry specific ML solutions.

machine-learning-fundamentals

Use Python and scikit-learn to get up and running with the hottest developments in machine learning

machine-learning-fundamentals-elearning

Use Python and scikit-learn to get up and running with the hottest developments in AI

machine-learning-projects-python-

9 Projects in ML

machine-learning-samples

Sample applications built using AWS' Amazon Machine Learning.

machine-learning-using-k8s

Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS

machine-learning-with-aws

Learn how you can use the power of cloud services for your own machine learning and artificial intelligence projects

machine-learning-with-r-quick-start-guide

Machine Learning with R Quick Start Guide, published by Packt

mastering-apache-spark

This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel