Manoj Bhat Manojbhat09

## dbscan_python.py
# machine learning 101: dbscan
# wonderful unsupervised clustering, fast and works efficiently
# checkout HDBSCAN for an even more beautiful algorithm

'''
How to write dbscan:
1. look into the probem of clustering
2. start by first sample
3. compute the distance, get the neighbors
4. if the neighs are more than min samples, store the nighbors and expand recursively, save to same cluster and return, keep visited to avoid cycles,

## fast-nested-loop.py
'''Intro
If you have "Multiple Nested loops" to operate on a list with O(n^k) complexity,
Save time complex on itermediate list operations by utilizing python map-reduce!
'''

import numpy as np
from itertools import product
import time

'''Proposed

## Ubuntu_Configuration.md

      
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    Credits: Zuxin Liu https://github.com/liuzuxin
Ubuntu 18.04 Environment Configuration (from beginning to giving up)

1. Install Ubuntu


make sure that the /swap partition is twice larger than the computer memory.
25GB is enough for root /.
The /boot partition should be use as 'EFI system partition'. 1GB is enough.
The / partition should be of 'primary' type. Others should be 'logical'.


## Running-python-on-browser

    Brython
    Skulpt
    PyPy.js
    Transcrypt
    Pyodide


Good Summary of current methods:
https://stackoverflow.com/questions/30155551/python-in-browser-how-to-choose-between-brython-pypy-js-skulpt-and-transcrypt

## yetAnotherBookmarkList.md

      
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                avidLearnerInProgress
                / yetAnotherBookmarkList.md
            
            
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              February 12, 2024 11:34
            
              
                Just another LeetCode + coding prep gist
              
          
    List of list by LeetCode user @deepika135


DP for beginners by @wh0ami - https://leetcode.com/discuss/general-discussion/662866/dp-for-beginners-problems-patterns-sample-solutions || [LIST - https://leetcode.com/list/x1k8lxi5]
Graph for beginners by @wh0ami - https://leetcode.com/discuss/general-discussion/655708/graph-for-beginners-problems-pattern-sample-solutions/562734 || [LIST - https://leetcode.com/list/x1wy4de7]
Sliding window for beginners by @wh0ami - https://leetcode.com/discuss/general-discussion/657507/sliding-window-for-beginners-problems-template-sample-solutions/562721 || [LIST - https://leetcode.com/list/x1lbzfk3]
DP Patterns by @aatalyk - https://leetcode.com/discuss/general-discussion/458695/dynamic-programming-patterns
Leetcode patterns from edu_cative_dot_io by @late_riser - https://leetcode.com/discuss/general-discussion/457546/LeetCode-Problem-Patterns-from-***
List of questions sorted by common patterns by @Maverick2594 - https://leetcode.com/discuss/career/448285/List-of-q


## Connect Google Colab+Drive with SSH.ipynb

      
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                bikcrum
                / Connect Google Colab+Drive with SSH.ipynb
            
            
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                This is the way how can you connect google colab as well as google drive (mounted) using SSH. This is useful when you want to download data directly to your google drive specially for machine learning purpose. It can be easy to mount google drive and use files into for your code.
              
          
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## QuantizationDL4J.java
// Tip 1: Do not save the updater if you do not plan to continue training your model
// Set false for saveUpdater flag.
ModelSerializer.writeModel(model, modelFilename, false);
// Results: Model size drop almost 40%.

// Tip 2: Convert FP32 to FP16 floating point precision(Quantization), currently DL4J only supports float. {DOUBLE, FLOAT, HALF}
// Convert the parameters just as below:
model = model.convertDataType(DataType.HALF);
// Results: Model size drop by 50%, half of its original size. Accuracy did not drop.

## begin(C++).md

      
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                Resources for C++ beginners
              
          
    begin(c++): Resources for C++ Beginners

General


🌏 The official ISO C++ Get Started! page

Primers


🎥 Herb Sutter: (Not Your Father’s) C++
🎥 Beginning with C++ by Jens Weller


## kitti_archives.txt
https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_calib.zip
https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_drive_0001/2011_09_26_drive_0001_sync.zip
https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_drive_0002/2011_09_26_drive_0002_sync.zip
https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_drive_0005/2011_09_26_drive_0005_sync.zip
https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_drive_0009/2011_09_26_drive_0009_sync.zip
https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_drive_0011/2011_09_26_drive_0011_sync.zip
https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_drive_0013/2011_09_26_drive_0013_sync.zip
https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_drive_0014/2011_09_26_drive_0014_sync.zip
https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_drive_0015/2011_09_26_drive_0015_sync.zip
https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_2

## install-gcc.sh
# Instructions for installing GCC 4.9 on various platforms.
# The commands show instructions for GCC 4.9, but any higher version will also work!

# Ubuntu (https://askubuntu.com/questions/466651/how-do-i-use-the-latest-gcc-on-ubuntu/581497#581497)
sudo apt-get install software-properties-common
sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt-get update
sudo apt-get install gcc-4.9 g++-4.9
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.9 60 --slave /usr/bin/g++ g++ /usr/bin/g++-4.9
	# machine learning 101: dbscan
	# wonderful unsupervised clustering, fast and works efficiently
	# checkout HDBSCAN for an even more beautiful algorithm

	'''
	How to write dbscan:
	1. look into the probem of clustering
	2. start by first sample
	3. compute the distance, get the neighbors
	4. if the neighs are more than min samples, store the nighbors and expand recursively, save to same cluster and return, keep visited to avoid cycles,
	'''Intro
	If you have "Multiple Nested loops" to operate on a list with O(n^k) complexity,
	Save time complex on itermediate list operations by utilizing python map-reduce!
	'''

	import numpy as np
	from itertools import product
	import time

	'''Proposed

	Brython
	Skulpt
	PyPy.js
	Transcrypt
	Pyodide


	Good Summary of current methods:
	https://stackoverflow.com/questions/30155551/python-in-browser-how-to-choose-between-brython-pypy-js-skulpt-and-transcrypt
	// Tip 1: Do not save the updater if you do not plan to continue training your model
	// Set false for saveUpdater flag.
	ModelSerializer.writeModel(model, modelFilename, false);
	// Results: Model size drop almost 40%.

	// Tip 2: Convert FP32 to FP16 floating point precision(Quantization), currently DL4J only supports float. {DOUBLE, FLOAT, HALF}
	// Convert the parameters just as below:
	model = model.convertDataType(DataType.HALF);
	// Results: Model size drop by 50%, half of its original size. Accuracy did not drop.
	https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_calib.zip
	https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_drive_0001/2011_09_26_drive_0001_sync.zip
	https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_drive_0002/2011_09_26_drive_0002_sync.zip
	https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_drive_0005/2011_09_26_drive_0005_sync.zip
	https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_drive_0009/2011_09_26_drive_0009_sync.zip
	https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_drive_0011/2011_09_26_drive_0011_sync.zip
	https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_drive_0013/2011_09_26_drive_0013_sync.zip
	https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_drive_0014/2011_09_26_drive_0014_sync.zip
	https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_drive_0015/2011_09_26_drive_0015_sync.zip
	https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_2
	# Instructions for installing GCC 4.9 on various platforms.
	# The commands show instructions for GCC 4.9, but any higher version will also work!

	# Ubuntu (https://askubuntu.com/questions/466651/how-do-i-use-the-latest-gcc-on-ubuntu/581497#581497)
	sudo apt-get install software-properties-common
	sudo add-apt-repository ppa:ubuntu-toolchain-r/test
	sudo apt-get update
	sudo apt-get install gcc-4.9 g++-4.9
	sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.9 60 --slave /usr/bin/g++ g++ /usr/bin/g++-4.9