Libararies,Frameworks,Containers
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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
aCupOfTea
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