AnshMittal1811

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

1. Clarify and agree on the scope of the system

• User cases (description of sequences of events that, taken together, lead to a system doing something useful)
  • Who is going to use it?
  • How are they going to use it?

AnshMittal1811

#!/usr/bin/python
# GoogleMapDownloader.py 
# Created by Hayden Eskriett [http://eskriett.com]
#
# A script which when given a longitude, latitude and zoom level downloads a
# high resolution google map
# Find the associated blog post at: http://blog.eskriett.com/2013/07/19/downloading-google-maps/

import urllib
import Image

AnshMittal1811

# Add this in a Google Colab cell to install the correct version of Pytorch Geometric.
import torch

def format_pytorch_version(version):
  return version.split('+')[0]

TORCH_version = torch.__version__
TORCH = format_pytorch_version(TORCH_version)

def format_cuda_version(version):

AnshMittal1811

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OSCP Syllabus:

https://www.offensive-security.com/information-security-training/penetration-testing-training-kali-linux/

Windows Privilege Escalation:

http://www.fuzzysecurity.com/tutorials/16.html

AnshMittal1811

This is a gist containing all the Augmented Reality Projects that I created using Tutorials and following various YouTube videos.

1. AR One
2. MarkerlessAR
3. AR Core Portal
4. AR Core Portal + Treasure App
5. AR Web View
6. AR Core Test View
7. AR Book
8. INSURIM First App
9. INSURIM Second App

AnshMittal1811

This is a gist containing all the Machine Learning and C# work that I did using several Tutorials and following various YouTube videos while I worked in the following roles.

1. Data Science Intern at Delhi e-Governance Society (For Data Science and Data Visualizations and Web Development in C# using ASP.NET, ML.NET)
2. Research Associate (Scientist) at Indian Institute of Technology Delhi (Mainly for ML in Games for C#)
3. As I am trying to learn concepts related to REST APIs, gRPC, and GraphQL, I also plan to keep on updating this gist as and when I do new projects.

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This is the list of projects that I did.

1. Introduction to MLNet
2. ML.NET with C# REST API Creation
3. Introduction to SparkNET

AnshMittal1811

This is a gist containing all the ML Compilation Projects/Works done watching and learning from Tutorials and following various YouTube videos.

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These are the projects that I did:

1. TVM build for CPP
2. Relay-based MLIR

AnshMittal1811

This is a gist containing all the AI-FinTech Projects/Works done watching and learning from Tutorials and following various YouTube videos.

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These are the projects that I did:

1. Machine Learning for Algorithmic Trading

AnshMittal1811

This gist is the amalgamation of the things that I have learned while reading research papers with their explanations for RAG, PEFT, CoT, ToT Prompting, etc.

1. Low Rank Adaptations
2. LongNet Visualization for Attention
3. LLAMA
4. RAG and Hierarchical Navigable Small Worlds
5. Rotary Position Embeddings
6. Retentive Networks
7. [FLARE Coding Implementati