Madhav Shekhar Sharma mdvsh

## cnn-numpy-implementation.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                mdvsh
                / cnn-numpy-implementation.ipynb
            
            
              Created
              May 21, 2020 05:08
            
              
                A NumPy implementation of a Convolutional Model 
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## meeting_torch_nn.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                mdvsh
                / meeting_torch_nn.ipynb
            
            
              Last active
              April 25, 2020 14:17
            
              
                Version1
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## reading_list.md

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              2 stars
            
          
                mdvsh
                / reading_list.md
            
            
              Last active
              October 6, 2021 08:26
            
              
                My CS Reading List
              
          
    Papers


Going Deeper with Convolutions / Inception Net
ResNet and it's variant architectures.
YOLO | Very important, very complex
That paper explaining 1x1 convolutions

Math


The Matrix Calculus You Need For Deep Learning
Cornell Backpropagation Derivation


## backprop-notes-and-implementation.ipynb

      
              1 file
            
          
              0 forks
            
          
              1 comment
            
          
              0 stars
            
          
                mdvsh
                / backprop-notes-and-implementation.ipynb
            
            
              Last active
              April 12, 2020 07:04
            
              
                Notes and Implementation of Back-propagation Algorithm
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## Untitled.ipynb

      
              2 files
            
          
              0 forks
            
          
              1 comment
            
          
              0 stars
            
          
                mdvsh
                / Untitled.ipynb
            
            
              Created
              April 4, 2020 17:11
            
              
                fml : kaggle planets
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## intel-image (1).ipynb

      
              1 file
            
          
              0 forks
            
          
              1 comment
            
          
              0 stars
            
          
                mdvsh
                / intel-image (1).ipynb
            
            
              Created
              March 23, 2020 14:43
            
              
                Intel Scene Dataset Image Classification | Rank-1 98.2% Accuracy | fastAI
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## SentimentAnalysis(julia).ipynb

      
              2 files
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                mdvsh
                / SentimentAnalysis(julia).ipynb
            
            
              Last active
              January 26, 2020 04:45
            
              
                Comparing Sentiment Analysis Models (on the Amazon Review Dataset).
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## judge_a_book_by_its_cover.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                mdvsh
                / judge_a_book_by_its_cover.ipynb
            
            
              Created
              January 12, 2020 05:05
            
              
                Creating a model to "judge a book by it's cover". | GCI Julia
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## README.md

      
              2 files
            
          
              0 forks
            
          
              0 comments
            
          
              1 star
            
          
                mdvsh
                / README.md
            
            
              Created
              January 4, 2020 10:51
            
              
                Minesweeper in Julia with good vibes.
              
          
    Minesweeper : Julia

References :


https://www.geeksforgeeks.org/cpp-implementation-minesweeper-game/ (Mainly here, I basically tried to port their cpp code to Julia xD)
BitLife Game (Minesweeper occurs as a minigame in this.)
https://en.wikipedia.org/wiki/Minesweeper_(video_game)
https://m.wikihow.com/Play-Minesweeper

Note: Some steps of the game have been omitted in the below snippet for graphical reasons.


## data.csv

          
            DATE
            Auckland
            Christchurch
            Dunedin
            Hamilton
            Wellington

            
              0
              2000-01
              115.4
              47.2
              174.8
              96.2
              91.8

            
              1
              2000-02
              8.4
              25.2
              41.0
              8.2
              35.2

            
              2
              2000-03
              57.2
              60.8
              74.2
              33.8
              53.4

            
              3
              2000-04
              106.8
              58.2
              50.0
              129.6
              109.8

            
              4
              2000-05
              128.2
              62.0
              
              98.2
              78.2

            
              5
              2000-06
              146.2
              38.0
              68.4
              100.2
              98.6

            
              6
              2000-07
              148.8
              18.0
              22.6
              98.6
              32.2

            
              7
              2000-08
              84.6
              108.4
              155.8
              102.6
              64.0

            
              8
              2000-09
              66.0
              83.4
              68.6
              113.2
              76.2
	DATE	Auckland	Christchurch	Dunedin	Hamilton	Wellington
0	2000-01	115.4	47.2	174.8	96.2	91.8
1	2000-02	8.4	25.2	41.0	8.2	35.2
2	2000-03	57.2	60.8	74.2	33.8	53.4
3	2000-04	106.8	58.2	50.0	129.6	109.8
4	2000-05	128.2	62.0		98.2	78.2
5	2000-06	146.2	38.0	68.4	100.2	98.6
6	2000-07	148.8	18.0	22.6	98.6	32.2
7	2000-08	84.6	108.4	155.8	102.6	64.0
8	2000-09	66.0	83.4	68.6	113.2	76.2