Libararies,Frameworks,Containers

• 101-Conda
  • Packages - Conda
  • Table of Content
  • 1- Conda Environment
  • 2- Conda Channels
  • 3- Managing Packages
  • Reference
• 101-Containers
  • 101 - Containers
  • Table of Content
  • What Happens When Power is on?
  • Hypervisor Virtual Machine
  • From History to Container!
  • Os of a Container?!
  • How container become alive?
  • Containers Shares Kernel?
  • References
• 101-Cuda
  • 101- Cuda
  • Table of Content
  • CUDA
  • Why the name CUDA?
  • What is a Thread (really)
  • Memory Coalescing?
  • Code Journey from CPU to GPU
  • A good to read
  • References
• 101-Dask
  • Dask
  • Table of Content
  • What is Dask?
  • Dask Over Spark
  • Dask Overview
  • Dask Collections
  • Dask Components
  • How Dask Handles Task Dependencies?
  • Internals
  • References
• 101-Docker
  • Software Skill: Docker
  • 101 - Docker: Introduction to Docker
  • Table of Content
  • Section: Motivation and Objectives
  • Section: Docker Fundamentals
  • Section: Docker Installation
  • Section: Dockerfile and Building Images
  • Section: Docker Scout
  • Section: Issues
• 101-Nvdia-Smi
  • 101 - Cuda - Nvidia-smi
  • Table of Content
  • What is NVSMI?
  • Where to get?
  • How it looks?
  • Output Desicription
  • Driver models
  • Conrtol Your GPUs
  • Note
  • References
• 101-Pandas
  • 101 - Pandas
  • Table of Content
  • Pandas Basics
  • Reference
• 101-Pytorch
  • 101 - Pytorch
  • Table of Content
  • How to Start?
  • Precision in DataType
  • GPU Properties
  • Pytorch Training Loop Steps
  • Pytorch Output Prediction
  • Model Saving/Loading
  • Print Model Summary
  • Download Script to your code
  • Check for Specific Version
  • Training on CPU is faster?
  • Common Deep Learning Issues
  • References
• 101-Singularity
  • 101 - Singularity
  • Table of Content
  • 1- Intro
  • 2- Installation
  • 3- Simple test - Docker alpine
  • 4- Build sif for Adder App
  • 5- More Deeper Singularity Tech
  • 6- Tips, Notes & Troubleshooting
  • 7- Apptainer
  • References
• 102-Pytorchddp
  • 102- Pytorch DDP
  • Distributed Data Parallel
  • Table of Contents
  • Intro
  • Related topics to Gain More Info